Saving variable get_pdf() into fields.binary - report

I want to save a variable automatically into a fields.binary (email_attachment_file) from get_pdf function.
My codes below here:
class example_example(models.Model):
email_attachment_file = fields.Binary('Data (.txt,.pdf)')
email_filename = fields.Char('Filename')
def generate(self,etc..):
report_name = "report_name_template"
datas = {
'ids':[],
'model' : etc,
'form' : etc
'context': context
}
moddelReport = self.pool.get('report')
alpha = modelReport.get_pdf(cr, uid,[],report_name,None,datas,context=context)
#alpha = base64.decodestring(alpha)
#alpha = alpha.decode('unicode_escape').encode('utf-8')
# --------- how to save alpha variable into fields.binary
And, is there something wrong modelReport.get_pdf function ?

Use encodestring() instead of decodestring().
report_obj = self.pool.get('report')
data = modelReport.get_pdf(cr, uid,[],report_name,None,datas,context=context)
self.email_attachment_file = base64.encodestring(data)

Related

let me know how to pass view model data to persistence model

enter image description here
public async Task<ResultModel> AddPnrListByParams(AddPnrModel model)
{
AddPnrModel addPnrModels = new AddPnrModel();
{
addPnrModels.OrgDestFrom = model.OrgDestFrom;
addPnrModels.OrgDestTo = model.OrgDestTo;
addPnrModels.AirLineName = model.AirLineName;
addPnrModels.FlightNo = model.FlightNo;
addPnrModels.DepartureDate = model.DepartureDate;
addPnrModels.DepartureTime = model.DepartureTime;
addPnrModels.ArrivalTime = model.ArrivalTime;
addPnrModels.DepartureTerminal = model.DepartureTerminal;
addPnrModels.ArrivalTerminal = model.ArrivalTerminal;
addPnrModels.FareBasis = model.FareBasis;
addPnrModels.FareDet = model.FareDet;
addPnrModels.BagInfo = model.BagInfo;
addPnrModels.ClassType = model.ClassType;
addPnrModels.NextDayArrival = model.NextDayArrival;
addPnrModels.FareRule = model.FareRule;
}
_db.FlightSearchResults.Add(addPnrModels);
_db.SaveChanges();
return null;
}
I want to pass my ADDPNRMODEL to FLIGHTSEARCHMODEL and FLIGHTSEARCHMODEL is created I persistence folder I don't know how to solve this issue basically I want to create Post API to submit data in database

Lua 2d array defined in object uses pass by reference

I have the following object:
local Game = {}
function Game:new(aNumberOfPlayers, aPlayer1, aPlayer2)
self.NumberOfPlayers = aNumberOfPlayers
self.Player1 = aPlayer1
self.Player2 = aPlayer2
self.Id = HttpService:GenerateGUID(true)
self.Status = "Waiting"
self.Moves = {}
self.Position = GetInitialGamePosition()
return self
end
local Square = {}
function Square:new(x, y, index, color)
self.X = x
self.Y = y
self.Index = index
self.Color = color
return self
end
That uses following function to intialize the 2d array for Position
function GetInitialGamePosition()
local mt = {} -- create the matrix
for i=1,15 do
mt[i] = {}
for j=1,15 do
mt[i][j] = Square:new(i,j,GetIndexFromRowColumn(i,j),nil)
end
end
return mt
end
Problem here is that since tables pass by reference each element of the 2d array ends up being the same. In other words when i iterate over a Position every element has same row, column, and index. Not sure what the best way to get around this is?
function Square:new(x, y, index, color)
local o = {}
o.X = x
o.Y = y
o.Index = index
o.Color = color
setmetatable(o, self)
self.__index = self
return o
end

How to get/build a JavaRDD[DataSet]?

When I use deeplearning4j and try to train a model in Spark
public MultiLayerNetwork fit(JavaRDD<DataSet> trainingData)
fit() need a JavaRDD parameter,
I try to build like this
val totalDaset = csv.map(row => {
val features = Array(
row.getAs[String](0).toDouble, row.getAs[String](1).toDouble
)
val labels = Array(row.getAs[String](21).toDouble)
val featuresINDA = Nd4j.create(features)
val labelsINDA = Nd4j.create(labels)
new DataSet(featuresINDA, labelsINDA)
})
but the tip of IDEA is No implicit arguments of type:Encode[DataSet]
it's a error and I dont know how to solve this problem,
I know SparkRDD can transform to JavaRDD, but I dont know how to build a Spark RDD[DataSet]
DataSet is in import org.nd4j.linalg.dataset.DataSet
Its construction method is
public DataSet(INDArray first, INDArray second) {
this(first, second, (INDArray)null, (INDArray)null);
}
this is my code
val spark:SparkSession = {SparkSession
.builder()
.master("local")
.appName("Spark LSTM Emotion Analysis")
.getOrCreate()
}
import spark.implicits._
val JavaSC = JavaSparkContext.fromSparkContext(spark.sparkContext)
val csv=spark.read.format("csv")
.option("header","true")
.option("sep",",")
.load("/home/hadoop/sparkjobs/LReg/data.csv")
val totalDataset = csv.map(row => {
val features = Array(
row.getAs[String](0).toDouble, row.getAs[String](1).toDouble
)
val labels = Array(row.getAs[String](21).toDouble)
val featuresINDA = Nd4j.create(features)
val labelsINDA = Nd4j.create(labels)
new DataSet(featuresINDA, labelsINDA)
})
val data = totalDataset.toJavaRDD
create JavaRDD[DataSet] by Java in deeplearning4j official guide:
String filePath = "hdfs:///your/path/some_csv_file.csv";
JavaSparkContext sc = new JavaSparkContext();
JavaRDD<String> rddString = sc.textFile(filePath);
RecordReader recordReader = new CSVRecordReader(',');
JavaRDD<List<Writable>> rddWritables = rddString.map(new StringToWritablesFunction(recordReader));
int labelIndex = 5; //Labels: a single integer representing the class index in column number 5
int numLabelClasses = 10; //10 classes for the label
JavaRDD<DataSet> rddDataSetClassification = rddWritables.map(new DataVecDataSetFunction(labelIndex, numLabelClasses, false));
I try to create by scala:
val JavaSC: JavaSparkContext = new JavaSparkContext()
val rddString: JavaRDD[String] = JavaSC.textFile("/home/hadoop/sparkjobs/LReg/hf-data.csv")
val recordReader: CSVRecordReader = new CSVRecordReader(',')
val rddWritables: JavaRDD[List[Writable]] = rddString.map(new StringToWritablesFunction(recordReader))
val featureColnum = 3
val labelColnum = 1
val d = new DataVecDataSetFunction(featureColnum,labelColnum,true,null,null)
// val rddDataSet: JavaRDD[DataSet] = rddWritables.map(new DataVecDataSetFunction(featureColnum,labelColnum, true,null,null))
// can not reslove overloaded method 'map'
debug error infomations:
A DataSet is just a pair of INDArrays. (inputs and labels)
Our docs cover this in depth:
https://deeplearning4j.konduit.ai/distributed-deep-learning/data-howto
For stack overflow sake, I'll summarize what's here since there's no "1" way to create a data pipeline. It's relative to your problem. It's very similar to how you you would create a dataset locally, generally you want to take whatever you do locally and put that in to spark in a function.
CSVs and images for example are going to be very different. But generally you use the datavec library to do that. The docs summarize the approach for each kind.

putting letters with number inside lua variables

I have this Nginx lua code which is used to encrypt numbers from 0 to 9 with its equivalent encrypted code ... ( see the example below )
and its working great , but i want to make it also encrypt Letters from A to Z.
I'm not familiar with lua so i don't know what is the best way to make it works !
content_by_lua_block {
local bf = {}
bf[0] = '(((_<<_)<<_)'
bf[1] = '(({}>[])-(()>[]))'
bf[2] = '(({}>[])-(()>[]))])'
bf[3] = '(({}>[])-(()>[]))])*'
bf[4] = '(({}>[])-(()>[]))])*(()>[])'
bf[5] = '(({}>[])-(()>[]))])*(()>[])%'
bf[6] = '(({}>[])-(()>[]))])*(()>[])%(((_<<_'
bf[7] = '(({}>[])-(()>[]))])*(()>[])%(((_<<_)<<_'
bf[8] = '(()>[]))])*(()>[])%(((_<<_)<<_)+((_<<_)*_))'
bf[9] = '(({}>[])-(()>[]))])*(()>[])%(((_<<_)<<_)+((_<<_)*_))'
local cookie = ngx.var.token
for i=0, 9 do
cookie = string.gsub(cookie, i, "'+"..bf[i].."+'")
end
Maybe something like that :
content_by_lua_block {
local bf = {}
bf[0] = '(((_<<_)<<_)'
bf[1] = '(({}>[])-(()>[]))'
bf[2] = '(({}>[])-(()>[]))])'
bf[3] = '(({}>[])-(()>[]))])*'
bf[4] = '(({}>[])-(()>[]))])*(()>[])'
bf[5] = '(({}>[])-(()>[]))])*(()>[])%'
bf[6] = '(({}>[])-(()>[]))])*(()>[])%(((_<<_'
bf[7] = '(({}>[])-(()>[]))])*(()>[])%(((_<<_)<<_'
bf[8] = '(()>[]))])*(()>[])%(((_<<_)<<_)+((_<<_)*_))'
bf[9] = '(({}>[])-(()>[]))])*(()>[])%(((_<<_)<<_)+((_<<_)*_))'
bf[a] = '(({}>[])-(()>[]))])*(()>[])%(((_<<_)<<_)+((_<<_)*_))(()>[])%'
bf[b] = '(({}>[])-(()>[]))])*(()>[])%(((_<<_)<<_)+((_<<_)*_))(()>[])%(()>[])%'
bf[c] = '(({}>[])-(()>[]))])*(()>[])%(((_<<_)<<_)+((_<<_)*_))(()>[])%(()>[])%(()>[])%'
...................
...................
...................
...................
bf[z] = '(({}>[])-(()>[]))])*(()>[])%(((_<<_)<<_)+((_<<_)*_))(()>[])%(()>[])%(()>[])%)%(()>[])%)%(()>[])%'
local cookie = ngx.var.token
for i=0, 9 and a, z do
cookie = string.gsub(cookie, i, "'+"..bf[i].."+'")
end
I tried to rewrite your code:
local bf = {}
bf[0] = '(((_<<_)<<_)'
bf[1] = '(({}>[])-(()>[]))'
bf[2] = '(({}>[])-(()>[]))])'
bf[3] = '(({}>[])-(()>[]))])*'
bf[4] = '(({}>[])-(()>[]))])*(()>[])'
bf[5] = '(({}>[])-(()>[]))])*(()>[])%'
bf[6] = '(({}>[])-(()>[]))])*(()>[])%(((_<<_'
bf[7] = '(({}>[])-(()>[]))])*(()>[])%(((_<<_)<<_'
bf[8] = '(()>[]))])*(()>[])%(((_<<_)<<_)+((_<<_)*_))'
bf[9] = '(({}>[])-(()>[]))])*(()>[])%(((_<<_)<<_)+((_<<_)*_))'
bf['a'] = '(({}>[])-(()>[]))])*(()>[])%(((_<<_)<<_)+((_<<_)*_))(()>[])%'
bf['b'] = '(({}>[])-(()>[]))])*(()>[])%(((_<<_)<<_)+((_<<_)*_))(()>[])%(()>[])%'
bf['c'] = '(({}>[])-(()>[]))])*(()>[])%(((_<<_)<<_)+((_<<_)*_))(()>[])%(()>[])%(()>[])%'
--
--
--
bf['z'] = '(({}>[])-(()>[]))])*(()>[])%(((_<<_)<<_)+((_<<_)*_))(()>[])%(()>[])%(()>[])%)%(()>[])%)%(()>[])%'
local cookie = "01sdz" -- ngx.var.token
-- first example
local cookie = cookie:gsub ( '.', function (x)
local s = tonumber(x) or x
if bf[s] then return "'+".. bf[s] .."+'"
else return x
end
end )
print(cookie)
-- second example
cookie = "01sdz"
for i=0, 9 do
cookie = string.gsub(cookie, i, "'+".. bf[i] .."+'")
-- may be use bf[i]:gsub( '([%%])', '%%%1') with escape escaping symbol %
end
for i= string.byte('a'), string.byte('z') do
local v = bf[string.char(i)]
if v then
cookie = cookie:gsub( string.char(i), "'+".. v:gsub( '([%%])', '%%%1') .."+'")
end
end
print(cookie)
result
'+(((_<<_)<<_)+''+(({}>[])-(()>[]))+'sd'+(({}>[])-(()>[]))])*(()>[])%(((_<<_)<<_)+((_<<_)*_))(()>[])%(()>[])%(()>[])%)%(()>[])%)%(()>[])%+'
'+(((_<<_)<<_)+''+(({}>[])-(()>[]))+'sd'+(({}>[])-(()>[]))])*(()>[])%(((_<<_)<<_)+((_<<_)*_))(()>[])%(()>[])%(()>[])%)%(()>[])%)%(()>[])%+'
I updated my code, anyway the second example will help you

web2py SQLFORM.grid url

When I try to put form = SQLFORM.grid(db.mytable) in my controller the request changes to my/web/site/view?_signature=520af19b1095db04dda2f1b6cbea3a03c3551e13 which causes my if statement in controller to collapse. Can smbd please explain why this happens?
If I put user_signature=False then on view load the grid is shown (though the looks is awful, and I still need to find out how to change the view of my table), but on search,edit, etc. click, the same thing happens again. The url is changed and I get an error
Any suggestions?
thank you
EDIT
This is my edit function
#auth.requires_login()
def edit():
#Load workers
workers = db(db.worker.w_organisation == 10).select(db.worker.w_id_w, db.worker.w_organisation, db.worker.w_first_name, db.worker.w_last_name,db.worker.w_nick_name,db.worker.w_email,db.worker.w_status,db.worker.w_note).as_list()
#Define the query object. Here we are pulling all contacts having date of birth less than 18 Nov 1990
query = ((db.worker.w_organisation == 10) & (db.worker.w_status==db.status.s_id_s))
#Define the fields to show on grid. Note: (you need to specify id field in fields section in 1.99.2
fields = (db.worker.w_first_name, db.worker.w_last_name,db.worker.w_nick_name,db.worker.w_email,db.status.s_code,db.worker.w_note)
#Define headers as tuples/dictionaries
headers = { 'worker.w_first_name' : 'Ime',
'worker.w_last_name' : 'Priimek',
'worker.w_nick_name' : 'Vzdevek',
'worker.w_email' : 'E-posta',
'status.s_code': 'Status',
'worker.w_note' : 'Komentar' }
#Let's specify a default sort order on date_of_birth column in grid
default_sort_order=[db.worker.w_last_name]
#Creating the grid object
form = SQLFORM.grid(query=query, fields=fields, headers=headers,searchable=True, orderby=default_sort_order,create=True, \
deletable=True, editable=True, maxtextlength=64, paginate=25,user_signature=False
)
form = SQLFORM.grid(db.worker,user_signature=False)
workersDb = db((db.worker.w_organisation == 10) & (db.worker.w_status==db.status.s_id_s)).select(db.worker.w_id_w, \
db.worker.w_organisation, db.worker.w_first_name, \
db.worker.w_last_name,db.worker.w_nick_name,db.worker.w_email,\
db.status.s_code,db.worker.w_note).as_list()
workersList = []
for rec in workersDb:
status = rec['status']['s_code']
workers = rec['worker']
if not rec["worker"]["w_first_name"]:
polno_ime = rec["worker"]["w_last_name"]
elif not rec["worker"]["w_last_name"]:
polno_ime = rec["worker"]["w_first_name"]
else:
polno_ime = rec["worker"]["w_first_name"] + " " + rec["worker"]["w_last_name"]
rec["worker"]['w_full_name'] = polno_ime
rec["worker"]["w_status"] = status
data = rec["worker"]
#print rec
#print data
workersList.append(rec["worker"])
# If type of arg is int, we know that user wants to edit a script with an id of the argument
if(request.args[0].isdigit()):
script = db(getDbScript(request.args[0])).select(db.script.sc_lls, db.script.sc_name, db.script.id, db.script.sc_menu_data).first()
formData = str(script["sc_menu_data"])
#form = SQLFORM.grid(db.auth_user)
#print formData
# If we dont get any results that means that user is not giving proper request and we show him error
#print script
#Parsing script to be inserted into view
if not script:
return error(0)
return dict(newScript = False, script = script, formData = formData, workers = workersList, form = form)
# If the argument is new we prepare page for new script
elif request.args[0] == 'new':
scripts = db((auth.user.organization == db.script.sc_organization)).select(db.script.sc_name, db.script.id, workers = workersList, form = form)
return dict(newScript = True, scripts = scripts, workers = workersList, form = form)
# Else error
else:
return error(0)
also not to mention the sqlgrid looks awful, here is link to the picture https://plus.google.com/103827646559093653557/posts/Bci4PCG4BQQ

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