How to use kafka.consumer.SimpleConsumer,seek() - python

The API doc is here:http://kafka-python.readthedocs.org/en/latest/apidoc/kafka.consumer.html
But when I run the following code, the exception is %d format: a number is required, not NoneType
client = KafkaClient("localhost:9092")
consumer = SimpleConsumer(client, "test-group", "test")
consumer.seek(0, whence=None)# (0,2) and (0,0)
run = True
while( run ):
message = consumer.get_message(block=False, timeout=4000)
except Exception as e:
print "Exception while trying to read msg:", str(e)
When I used the following piece of code, the exception is seek() got an unexpected keyword argument 'partition'
consumer.seek(0, whence=None, partition=None)# (0,2) and (0,0)
Any idea? Thanks.

In the Kafka Definitive Guide, there is a sample code of seek() written in Java (not in Python, but I hope you might get the general idea).
public class SaveOffsetsOnRebalance implements ConsumerRebalanceListener {
public void onPartitionsRevoked (Collection <TopicPartition> partitions) {
commitDBTransaction();
}
public void onPartitionsAssigned(Collection <TopicPartiton> partitions) {
for(TopicPartition partition : partitions)
consumer.seek(partition, getOffsetFromDB(partition));
}
}
} // these brackets are exactly the same as the book. I didn't change anything. You might want to though.
consumer.subscribe (topics, new SaveOffsetOnRebalance(consumer));
consumer.poll(0);
for ( TopicPartition partition : consumer.assignment())
consumer.seek(partition, getOffsetFromDB(partition));
while (true) {
ConsumerRecords <String, String> records = consumer.poll(100);
for (ConsumerRecord <String, String> record : records)
{
processRecord(record);
storeRecordInDB(record);
storeOffsetInDB(record.topic(), record.partition(), record.offset());
}
commitDBTransaction();
}

Related

pybind11 bind input output parameter

my C++ code
void test(std::string & data) {
data += " github";
}
PYBIND11_MODULE(example11, m) {
m.def("test", [](std::reference_wrapper<std::string> w) {
test(w.get());
});
}
my python code
import example11
def my_test():
data = "hello"
example11.test(data)
print("python: {}".format(data))
if __name__ == '__main__':
my_test()
what i expect is i got hello github, however hello is gotten, is there something wrong in my code, dear guys?
You can't use output parameter in Python, see detailed explaination in the official doc. Only mutable types(str exclued) can be changed in-place. Even for mutable types, you still can't get modified result since the restriction of pybind11.
To fix your issue, return the modified value.
std::string test(std::string & data) {
data += " github";
return data;
}
PYBIND11_MODULE(example11, m) {
m.def("test", &test);
}
in Python call
data = example11.test(data)

How to start a python program using java (Runtime.getRuntime().exec())

I am writing a program that requires the starting of a python script before the rest of the java code runs. However, I cannot find a solution to my issues. I would appreciate if someone could suggest a solution to the problem I am facing.
Code (I need help on the part under the comment "start python"):
import java.io.IOException;
//makes it easier for user to
//select game/start python
public class gameselect {
public static void main(String args[]) throws IOException {
//start python
try {
String cmd = "python ngramcount.py";
Process process = Runtime.getRuntime().exec(cmd);
process.getInputStream();
}
catch (IOException e) {
e.printStackTrace();
}
//select game
try {
Scanner in = new Scanner (System.in);
game1 g = new game1();
game2 f = new game2();
int choice = 0;
System.out.println("Welcome to TranslateGame!");
System.out.println("Type 1 for game1 (words) or 2 for game2 (phrases)");
while (choice != 1 && choice != 2) {
choice = in.nextInt();
if (choice != 1 && choice != 2) {
System.out.println("No game associated with that number.");
}
}
if (choice == 1) {
g.game1();
}
else if (choice == 2) {
f.game2();
}
}
catch(IOException e) {
System.out.println("No.");
}
}
}
Here is some code that you might be able to get to work. I also commented it and provided some reference links to help you understand what the code is doing.
public static void main(String[] args) throws IOException {
// I'm using the absolute path for my example.
String fileName = "C:\\Users\\yourname\\Desktop\\testing.py";
// Creates a ProcessBuilder
// doc: https://docs.oracle.com/javase/7/docs/api/java/lang/ProcessBuilder.html
ProcessBuilder pb = new ProcessBuilder("python", fileName);
pb.redirectErrorStream(true); // redirect error stream to a standard output stream
Process process = pb.start(); // Used to start the process
// Reads the output stream of the process.
BufferedReader reader = new BufferedReader(new InputStreamReader(process.getInputStream()));
String line; // this will be used to read the output line by line. Helpful in troubleshooting.
while ((line = reader.readLine()) != null) {
System.out.println(line);
}
}

For Hazelcast python client, how do i do Hazelcast set intersection between multiple Hazelcast set entities without retain_all() on server-side?

I have multiple Hazelcast sets for which I want to find the Intersection, however I want to avoid pulling any data on the client side. My current approach is exactly that with this code. It finds intersection between the 1st set and the list of the rest of set so that set1 is now the intersection of all.
for i in range(1, len(sets)):
cur = sets[i]
set1.retain_all(cur.get_all())
Hazelcast's retain_all doesn't work with 2 set entities, only with a set and a collection which is not what I am looking for. For example, it can be done with Redis with this code, so I want its Hazelcast equivalent.
set_result = "set_result"
redisClient.sinterstore(set_result, *list(sets))
Any help would be appreciated!
Since Hazelcast's ISet is a Set which is a Collection the following code should work:
set1.retainAll(cur);
But, it doesn't seem like you'd like set1 to be modified but would rather store the result in a different set much like redis' sinterstore function.
The following is an example of an alternative implementation:
public class RetainAllExample {
public static void main(String[] args) {
HazelcastInstance h1 = Hazelcast.newHazelcastInstance();
HazelcastInstance h2 = Hazelcast.newHazelcastInstance();
Set<String> set1 = h1.getSet("set1");
Set<String> set2 = h1.getSet("set2");
set1.add("a");
set1.add("b");
set1.add("c");
set1.add("d");
set2.add("c");
set2.add("d");
set2.add("e");
String resultName = "result";
String[] setNames = new String[] { "set1", "set2"};
RetainAll retainAll = new RetainAll(resultName, setNames;
IExecutorService exec = h1.getExecutorService("HZ-Executor-1");
Future<Boolean> task = exec.submit(retainAll);
try {
if(task.get(1_000, TimeUnit.MILLISECONDS)) {
Set<String> result = h1.getSet(resultName);
result.forEach(str -> System.out.println(str + ", "));
}
} catch (Exception e) {
e.printStackTrace();
System.exit(-1);
}
System.exit(0);
}
static class RetainAll implements Callable<Boolean>, HazelcastInstanceAware, Serializable {
private HazelcastInstance hazelcastInstance;
private String resultSetName;
private String[] setNames;
public RetainAll(String resultSetName, String[] setNames) {
this.resultSetName = resultSetName;
this.setNames = setNames;
}
#Override
public Boolean call() {
try {
Set[] sets = new Set[setNames.length];
IntStream.range(0, setNames.length).forEach(i -> sets[i] = hazelcastInstance.getSet(setNames[i]));
ISet resultSet = hazelcastInstance.getSet(resultSetName);
resultSet.addAll(sets[0]);
IntStream.range(1, sets.length).forEach(i -> resultSet.retainAll(sets[i]));
}
catch (Exception e) {
e.printStackTrace();
return false;
}
return true;
}
#Override
public void setHazelcastInstance(HazelcastInstance hazelcastInstance) {
this.hazelcastInstance = hazelcastInstance;
}
}
}

Unwanted double quotes around server response in Python Flask-RESTful [duplicate]

Given a string of JSON data, how can I safely turn that string into a JavaScript object?
Obviously I can do this unsafely with something like:
var obj = eval("(" + json + ')');
but that leaves me vulnerable to the JSON string containing other code, which it seems very dangerous to simply eval.
JSON.parse(jsonString) is a pure JavaScript approach so long as you can guarantee a reasonably modern browser.
The jQuery method is now deprecated. Use this method instead:
let jsonObject = JSON.parse(jsonString);
Original answer using deprecated jQuery functionality:
If you're using jQuery just use:
jQuery.parseJSON( jsonString );
It's exactly what you're looking for (see the jQuery documentation).
This answer is for IE < 7, for modern browsers check Jonathan's answer above.
This answer is outdated and Jonathan's answer above (JSON.parse(jsonString)) is now the best answer.
JSON.org has JSON parsers for many languages including four different ones for JavaScript. I believe most people would consider json2.js their goto implementation.
Use the simple code example in "JSON.parse()":
var jsontext = '{"firstname":"Jesper","surname":"Aaberg","phone":["555-0100","555-0120"]}';
var contact = JSON.parse(jsontext);
and reversing it:
var str = JSON.stringify(arr);
This seems to be the issue:
An input that is received via Ajax websocket etc, and it will be in String format, but you need to know if it is JSON.parsable. The touble is, if you always run it through JSON.parse, the program MAY continue "successfully" but you'll still see an error thrown in the console with the dreaded "Error: unexpected token 'x'".
var data;
try {
data = JSON.parse(jqxhr.responseText);
} catch (_error) {}
data || (data = {
message: 'Server error, please retry'
});
I'm not sure about other ways to do it but here's how you do it in Prototype (JSON tutorial).
new Ajax.Request('/some_url', {
method:'get',
requestHeaders: {Accept: 'application/json'},
onSuccess: function(transport){
var json = transport.responseText.evalJSON(true);
}
});
Calling evalJSON() with true as the argument sanitizes the incoming string.
If you're using jQuery, you can also use:
$.getJSON(url, function(data) { });
Then you can do things like
data.key1.something
data.key1.something_else
etc.
Just for fun, here is a way using a function:
jsonObject = (new Function('return ' + jsonFormatData))()
$.ajax({
url: url,
dataType: 'json',
data: data,
success: callback
});
The callback is passed the returned data, which will be a JavaScript object or array as defined by the JSON structure and parsed using the $.parseJSON() method.
Using JSON.parse is probably the best way.
Here's an example
var jsonRes = '{ "students" : [' +
'{ "firstName":"Michel" , "lastName":"John" ,"age":18},' +
'{ "firstName":"Richard" , "lastName":"Joe","age":20 },' +
'{ "firstName":"James" , "lastName":"Henry","age":15 } ]}';
var studentObject = JSON.parse(jsonRes);
The easiest way using parse() method:
var response = '{"result":true,"count":1}';
var JsonObject= JSON.parse(response);
Then you can get the values of the JSON elements, for example:
var myResponseResult = JsonObject.result;
var myResponseCount = JsonObject.count;
Using jQuery as described in the jQuery.parseJSON() documentation:
JSON.parse(jsonString);
Try using the method with this Data object. ex:Data='{result:true,count:1}'
try {
eval('var obj=' + Data);
console.log(obj.count);
}
catch(e) {
console.log(e.message);
}
This method really helps in Nodejs when you are working with serial port programming
I found a "better" way:
In CoffeeScript:
try data = JSON.parse(jqxhr.responseText)
data ||= { message: 'Server error, please retry' }
In Javascript:
var data;
try {
data = JSON.parse(jqxhr.responseText);
} catch (_error) {}
data || (data = {
message: 'Server error, please retry'
});
JSON parsing is always a pain. If the input is not as expected it throws an error and crashes what you are doing.
You can use the following tiny function to safely parse your input. It always turns an object even if the input is not valid or is already an object which is better for most cases:
JSON.safeParse = function (input, def) {
// Convert null to empty object
if (!input) {
return def || {};
} else if (Object.prototype.toString.call(input) === '[object Object]') {
return input;
}
try {
return JSON.parse(input);
} catch (e) {
return def || {};
}
};
Parse the JSON string with JSON.parse(), and the data becomes a JavaScript object:
JSON.parse(jsonString)
Here, JSON represents to process JSON dataset.
Imagine we received this text from a web server:
'{ "name":"John", "age":30, "city":"New York"}'
To parse into a JSON object:
var obj = JSON.parse('{ "name":"John", "age":30, "city":"New York"}');
Here obj is the respective JSON object which looks like:
{ "name":"John", "age":30, "city":"New York"}
To fetch a value use the . operator:
obj.name // John
obj.age //30
Convert a JavaScript object into a string with JSON.stringify().
JSON.parse(jsonString);
json.parse will change into object.
JSON.parse() converts any JSON string passed into the function into a JSON object.
To understand it better, press F12 to open "Inspect Element" in your browser and go to the console to write the following commands:
var response = '{"result":true,"count":1}'; //sample json object(string form)
JSON.parse(response); //converts passed string to JSON Object.
Now run the command:
console.log(JSON.parse(response));
You'll get output as an Object {result: true, count: 1}.
In order to use that Object, you can assign it to the variable, maybe obj:
var obj = JSON.parse(response);
By using obj and the dot (.) operator you can access properties of the JSON object.
Try to run the command:
console.log(obj.result);
Official documentation:
The JSON.parse() method parses a JSON string, constructing the JavaScript value or object described by the string. An optional reviver function can be provided to perform a transformation on the resulting object before it is returned.
Syntax:
JSON.parse(text[, reviver])
Parameters:
text
: The string to parse as JSON. See the JSON object for a description of JSON syntax.
reviver (optional)
: If a function, this prescribes how the value originally produced by parsing is transformed, before being returned.
Return value
The Object corresponding to the given JSON text.
Exceptions
Throws a SyntaxError exception if the string to parse is not valid JSON.
If we have a string like this:
"{\"status\":1,\"token\":\"65b4352b2dfc4957a09add0ce5714059\"}"
then we can simply use JSON.parse twice to convert this string to a JSON object:
var sampleString = "{\"status\":1,\"token\":\"65b4352b2dfc4957a09add0ce5714059\"}"
var jsonString= JSON.parse(sampleString)
var jsonObject= JSON.parse(jsonString)
And we can extract values from the JSON object using:
// instead of last JSON.parse:
var { status, token } = JSON.parse(jsonString);
The result will be:
status = 1 and token = 65b4352b2dfc4957a09add0ce5714059
Performance
There are already good answer for this question, but I was curious about performance and today 2020.09.21 I conduct tests on MacOs HighSierra 10.13.6 on Chrome v85, Safari v13.1.2 and Firefox v80 for chosen solutions.
Results
eval/Function (A,B,C) approach is fast on Chrome (but for big-deep object N=1000 they crash: "maximum stack call exceed)
eval (A) is fast/medium fast on all browsers
JSON.parse (D,E) are fastest on Safari and Firefox
Details
I perform 4 tests cases:
for small shallow object HERE
for small deep object HERE
for big shallow object HERE
for big deep object HERE
Object used in above tests came from HERE
let obj_ShallowSmall = {
field0: false,
field1: true,
field2: 1,
field3: 0,
field4: null,
field5: [],
field6: {},
field7: "text7",
field8: "text8",
}
let obj_DeepSmall = {
level0: {
level1: {
level2: {
level3: {
level4: {
level5: {
level6: {
level7: {
level8: {
level9: [[[[[[[[[['abc']]]]]]]]]],
}}}}}}}}},
};
let obj_ShallowBig = Array(1000).fill(0).reduce((a,c,i) => (a['field'+i]=getField(i),a) ,{});
let obj_DeepBig = genDeepObject(1000);
// ------------------
// Show objects
// ------------------
console.log('obj_ShallowSmall:',JSON.stringify(obj_ShallowSmall));
console.log('obj_DeepSmall:',JSON.stringify(obj_DeepSmall));
console.log('obj_ShallowBig:',JSON.stringify(obj_ShallowBig));
console.log('obj_DeepBig:',JSON.stringify(obj_DeepBig));
// ------------------
// HELPERS
// ------------------
function getField(k) {
let i=k%10;
if(i==0) return false;
if(i==1) return true;
if(i==2) return k;
if(i==3) return 0;
if(i==4) return null;
if(i==5) return [];
if(i==6) return {};
if(i>=7) return "text"+k;
}
function genDeepObject(N) {
// generate: {level0:{level1:{...levelN: {end:[[[...N-times...['abc']...]]] }}}...}}}
let obj={};
let o=obj;
let arr = [];
let a=arr;
for(let i=0; i<N; i++) {
o['level'+i]={};
o=o['level'+i];
let aa=[];
a.push(aa);
a=aa;
}
a[0]='abc';
o['end']=arr;
return obj;
}
Below snippet presents chosen solutions
// src: https://stackoverflow.com/q/45015/860099
function A(json) {
return eval("(" + json + ')');
}
// https://stackoverflow.com/a/26377600/860099
function B(json) {
return (new Function('return ('+json+')'))()
}
// improved https://stackoverflow.com/a/26377600/860099
function C(json) {
return Function('return ('+json+')')()
}
// src: https://stackoverflow.com/a/5686237/860099
function D(json) {
return JSON.parse(json);
}
// src: https://stackoverflow.com/a/233630/860099
function E(json) {
return $.parseJSON(json)
}
// --------------------
// TEST
// --------------------
let json = '{"a":"abc","b":"123","d":[1,2,3],"e":{"a":1,"b":2,"c":3}}';
[A,B,C,D,E].map(f=> {
console.log(
f.name + ' ' + JSON.stringify(f(json))
)})
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.3.1/jquery.min.js"></script>
This shippet only presents functions used in performance tests - it not perform tests itself!
And here are example results for chrome
Converting the object to JSON, and then parsing it, works for me, like:
JSON.parse(JSON.stringify(object))
The recommended approach to parse JSON in JavaScript is to use JSON.parse()
Background
The JSON API was introduced with ECMAScript 5 and has since been implemented in >99% of browsers by market share.
jQuery once had a $.parseJSON() function, but it was deprecated with jQuery 3.0. In any case, for a long time, it was nothing more than a wrapper around JSON.parse().
Example
const json = '{ "city": "Boston", "population": 500000 }';
const object = JSON.parse(json);
console.log(object.city, object.population);
Browser Compatibility
Is JSON.parse supported by all major browsers?
Pretty much, yes (see reference).
Older question, I know, however nobody notice this solution by using new Function(), an anonymous function that returns the data.
Just an example:
var oData = 'test1:"This is my object",test2:"This is my object"';
if( typeof oData !== 'object' )
try {
oData = (new Function('return {'+oData+'};'))();
}
catch(e) { oData=false; }
if( typeof oData !== 'object' )
{ alert( 'Error in code' ); }
else {
alert( oData.test1 );
alert( oData.test2 );
}
This is a little more safe because it executes inside a function and do not compile in your code directly. So if there is a function declaration inside it, it will not be bound to the default window object.
I use this to 'compile' configuration settings of DOM elements (for example the data attribute) simple and fast.
Summary:
Javascript (both browser and NodeJS) have a built in JSON object. On this Object are 2 convenient methods for dealing with JSON. They are the following:
JSON.parse() Takes JSON as argument, returns JS object
JSON.stringify() Takes JS object as argument returns JSON object
Other applications:
Besides for very conveniently dealing with JSON they have can be used for other means. The combination of both JSON methods allows us to make very easy make deep clones of arrays or objects. For example:
let arr1 = [1, 2, [3 ,4]];
let newArr = arr1.slice();
arr1[2][0] = 'changed';
console.log(newArr); // not a deep clone
let arr2 = [1, 2, [3 ,4]];
let newArrDeepclone = JSON.parse(JSON.stringify(arr2));
arr2[2][0] = 'changed';
console.log(newArrDeepclone); // A deep clone, values unchanged
You also can use reviver function to filter.
var data = JSON.parse(jsonString, function reviver(key, value) {
//your code here to filter
});
For more information read JSON.parse.
Just to the cover parse for different input types
Parse the data with JSON.parse(), and the data becomes a JavaScript object.
var obj = JSON.parse('{ "name":"John", "age":30, "city":"New York"}');
When using the JSON.parse() on a JSON derived from an array, the method will return a JavaScript array, instead of a JavaScript object.
var myArr = JSON.parse(this.responseText);
console.log(myArr[0]);
Date objects are not allowed in JSON.
For Dates do somthing like this
var text = '{ "name":"John", "birth":"1986-12-14", "city":"New York"}';
var obj = JSON.parse(text);
obj.birth = new Date(obj.birth);
Functions are not allowed in JSON.
If you need to include a function, write it as a string.
var text = '{ "name":"John", "age":"function () {return 30;}", "city":"New York"}';
var obj = JSON.parse(text);
obj.age = eval("(" + obj.age + ")");
Another option
const json = '{ "fruit": "pineapple", "fingers": 10 }'
let j0s,j1s,j2s,j3s
console.log(`{ "${j0s="fruit"}": "${j1s="pineapple"}", "${j2s="fingers"}": ${j3s="10"} }`)
Try this. This one is written in typescript.
export function safeJsonParse(str: string) {
try {
return JSON.parse(str);
} catch (e) {
return str;
}
}

Golang - detecting duplicate keys in JSON input

I recently completed a project where I used the "object hook" in Python to detect whether a JSON key was a duplicate of another key. Normal JSON decoders seem to just give the last value encountered, but I would like to be able to detect and return an error. My new project (at new company) is to write this in golang, so wondering if there is a similar method to Python's object hook. I had also used a different object hook to get an "ordered dict" in Python; essentially a list form of the JSON input, with the ordering of the original JSON preserved. Haven't been tasked with that in golang yet, but I bet it's coming.... anyway, input on either of these JSON capabilities as relate to golang appreciated!
What you need is a json library which works like a bufio.Scanner or SAX. One is implemented here: github.com/garyburd/json. It will generate events as it scans which you can use to discover duplicate keys.
Here's an example of how to use it:
package main
import (
"fmt"
"github.com/garyburd/json"
"io"
"strings"
)
type Nothing struct{}
type Context struct {
Kind json.Kind
Keys map[string]Nothing
}
func Validate(rdr io.Reader) error {
scanner := json.NewScanner(rdr)
stack := []Context{}
for scanner.Scan() {
if scanner.Kind() == json.Object || scanner.Kind() == json.Array {
stack = append(stack, Context{
Kind: scanner.Kind(),
Keys: map[string]Nothing{},
})
} else if scanner.Kind() == json.End {
if len(stack) == 0 {
return fmt.Errorf("expected start object or array")
}
stack = stack[:len(stack)-1]
} else if len(stack) > 0 {
current := stack[len(stack)-1]
if current.Kind == json.Object {
key := string(scanner.Name())
_, exists := current.Keys[key]
if exists {
return fmt.Errorf("found duplicate key: %v", key)
}
current.Keys[key] = Nothing{}
}
}
}
return nil
}
func main() {
rdr := strings.NewReader(`
{
"x": 10,
"y": {
"z": 1,
"z": 2
},
"z": [1,2,3,4,5]
}
`)
err := Validate(rdr)
if err == nil {
fmt.Println("valid json!")
} else {
fmt.Println("invalid json:", err)
}
}
As it walks through the JSON object it builds a stack of hash tables. (for nested objects / arrays) Any duplicate keys in one of those hash tables results in an error. If you need more detail you could easily add a Name property to the Context and walk the stack backwards to generate a json path. (like a.b.c.d is a duplicate key)

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