My json code : Input
{"responseCode":"200","responseText":"ID: 2ce934c860f48b02fb755178f8ac0a2"}
How to json decode in zoho creator
==> This is right ?
responseCode=jsondata.getJSON("responseCode");
responseText=jsondata.getJSON("responseText");
SMS_ID=responseText.getJSON("ID");
That's almost correct. Note that "ID: 2ce934c860f48b02fb755178f8ac0a2" is just a string, not a JSON element.
Try with:
responseText=jsondata.getJSON("responseText");
SMS_ID = responseText.remove("ID: ");
Related
I'm trying to inspect a CSV file and there are no findings being returned (I'm using the EMAIL_ADDRESS info type and the addresses I'm using are coming up with positive hits here: https://cloud.google.com/dlp/demo/#!/). I'm sending the CSV file into inspect_content with a byte_item as follows:
byte_item: {
type: :CSV,
data: File.open('/xxxxx/dlptest.csv', 'r').read
}
In looking at the supported file types, it looks like CSV/TSV files are inspected via Structured Parsing.
For CSV/TSV does that mean one can't just sent in the file, and needs to use the table attribute instead of byte_item as per https://cloud.google.com/dlp/docs/inspecting-structured-text?
What about for XSLX files for example? They're an unspecified file type so I tried with a configuration like so, but it still returned no findings:
byte_item: {
type: :BYTES_TYPE_UNSPECIFIED,
data: File.open('/xxxxx/dlptest.xlsx', 'rb').read
}
I'm able to do inspection and redaction with images and text fine, but having a bit of a problem with other file types. Any ideas/suggestions welcome! Thanks!
Edit: The contents of the CSV in question:
$ cat ~/Downloads/dlptest.csv
dylans#gmail.com,anotehu,steve#example.com
blah blah,anoteuh,
aonteuh,
$ file ~/Downloads/dlptest.csv
~/Downloads/dlptest.csv: ASCII text, with CRLF line terminators
The full request:
parent = "projects/xxxxxxxx/global"
inspect_config = {
info_types: [{name: "EMAIL_ADDRESS"}],
min_likelihood: :POSSIBLE,
limits: { max_findings_per_request: 0 },
include_quote: true
}
request = {
parent: parent,
inspect_config: inspect_config,
item: {
byte_item: {
type: :CSV,
data: File.open('/xxxxx/dlptest.csv', 'r').read
}
}
}
dlp = Google::Cloud::Dlp.dlp_service
response = dlp.inspect_content(request)
The CSV file I was testing with was something I created using Google Sheets and exported as a CSV, however, the file showed locally as a "text/plain; charset=us-ascii". I downloaded a CSV off the internet and it had a mime of "text/csv; charset=utf-8". This is the one that worked. So it looks like my issue was specifically due the file being an incorrect mime type.
xlsx is not yet supported. Coming soon. (Maybe that part of the question should be split out from the CSV debugging issue.)
I'm having these json parsing errors from time to time:
2022-01-07T12:15:19,872][WARN ][logstash.filters.json ] Error parsing json
{:source=>"message", :raw=>" { the invalid json }", :exception=>#<LogStash::Json::ParserError: Unrecognized character escape 'x' (code 120)
Is there a way to get the :exception field in the logstash config file?
I opened the exact same thread on the elastic forum and got a working solution there. Thanks to #Badger on the forum, I ended up using the following raw ruby filter:
ruby {
code => '
#source = "message"
source = event.get(#source)
return unless source
begin
parsed = LogStash::Json.load(source)
rescue => e
event.set("jsonException", e.to_s)
return
end
#target = "jsonData"
if #target
event.set(#target, parsed)
end
'
}
which extracts the info I needed:
"jsonException" => "Unexpected character (',' (code 44)): was expecting a colon to separate field name and value\n at [Source: (byte[])\"{ \"baz\", \"oh!\" }\r\"; line: 1, column: 9]",
Or as the author of the solution suggested, get rid of the #target part and use the normal json filter for the rest of the data.
I'm having trouble saving the output given by the Google Vision API. I'm using Python and testing with a demo image. I get the following error:
TypeError: [mid:...] + is not JSON serializable
Code that I executed:
import io
import os
import json
# Imports the Google Cloud client library
from google.cloud import vision
from google.cloud.vision import types
# Instantiates a client
vision_client = vision.ImageAnnotatorClient()
# The name of the image file to annotate
file_name = os.path.join(
os.path.dirname(__file__),
'demo-image.jpg') # Your image path from current directory
# Loads the image into memory
with io.open(file_name, 'rb') as image_file:
content = image_file.read()
image = types.Image(content=content)
# Performs label detection on the image file
response = vision_client.label_detection(image=image)
labels = response.label_annotations
print('Labels:')
for label in labels:
print(label.description, label.score, label.mid)
with open('labels.json', 'w') as fp:
json.dump(labels, fp)
the output appears on the screen, however I do not know exactly how I can save it. Anyone have any suggestions?
FYI to anyone seeing this in the future, google-cloud-vision 2.0.0 has switched to using proto-plus which uses different serialization/deserialization code. A possible error you can get if upgrading to 2.0.0 without changing the code is:
object has no attribute 'DESCRIPTOR'
Using google-cloud-vision 2.0.0, protobuf 3.13.0, here is an example of how to serialize and de-serialize (example includes json and protobuf)
import io, json
from google.cloud import vision_v1
from google.cloud.vision_v1 import AnnotateImageResponse
with io.open('000048.jpg', 'rb') as image_file:
content = image_file.read()
image = vision_v1.Image(content=content)
client = vision_v1.ImageAnnotatorClient()
response = client.document_text_detection(image=image)
# serialize / deserialize proto (binary)
serialized_proto_plus = AnnotateImageResponse.serialize(response)
response = AnnotateImageResponse.deserialize(serialized_proto_plus)
print(response.full_text_annotation.text)
# serialize / deserialize json
response_json = AnnotateImageResponse.to_json(response)
response = json.loads(response_json)
print(response['fullTextAnnotation']['text'])
Note 1: proto-plus doesn't support converting to snake_case names, which is supported in protobuf with preserving_proto_field_name=True. So currently there is no way around the field names being converted from response['full_text_annotation'] to response['fullTextAnnotation']
There is an open closed feature request for this: googleapis/proto-plus-python#109
Note 2: The google vision api doesn't return an x coordinate if x=0. If x doesn't exist, the protobuf will default x=0. In python vision 1.0.0 using MessageToJson(), these x values weren't included in the json, but now with python vision 2.0.0 and .To_Json() these values are included as x:0
Maybe you were already able to find a solution to your issue (if that is the case, I invite you to share it as an answer to your own post too), but in any case, let me share some notes that may be useful for other users with a similar issue:
As you can check using the the type() function in Python, response is an object of google.cloud.vision_v1.types.AnnotateImageResponse type, while labels[i] is an object of google.cloud.vision_v1.types.EntityAnnotation type. None of them seem to have any out-of-the-box implementation to transform them to JSON, as you are trying to do, so I believe the easiest way to transform each of the EntityAnnotation in labels would be to turn them into Python dictionaries, then group them all into an array, and transform this into a JSON.
To do so, I have added some simple lines of code to your snippet:
[...]
label_dicts = [] # Array that will contain all the EntityAnnotation dictionaries
print('Labels:')
for label in labels:
# Write each label (EntityAnnotation) into a dictionary
dict = {'description': label.description, 'score': label.score, 'mid': label.mid}
# Populate the array
label_dicts.append(dict)
with open('labels.json', 'w') as fp:
json.dump(label_dicts, fp)
There is a library released by Google
from google.protobuf.json_format import MessageToJson
webdetect = vision_client.web_detection(blob_source)
jsonObj = MessageToJson(webdetect)
I was able to save the output with the following function:
# Save output as JSON
def store_json(json_input):
with open(json_file_name, 'a') as f:
f.write(json_input + '\n')
And as #dsesto mentioned, I had to define a dictionary. In this dictionary I have defined what types of information I would like to save in my output.
with open(photo_file, 'rb') as image:
image_content = base64.b64encode(image.read())
service_request = service.images().annotate(
body={
'requests': [{
'image': {
'content': image_content
},
'features': [{
'type': 'LABEL_DETECTION',
'maxResults': 20,
},
{
'type': 'TEXT_DETECTION',
'maxResults': 20,
},
{
'type': 'WEB_DETECTION',
'maxResults': 20,
}]
}]
})
The objects in the current Vision library lack serialization functions (although this is a good idea).
It is worth noting that they are about to release a substantially different library for Vision (it is on master of vision's repo now, although not released to PyPI yet) where this will be possible. Note that it is a backwards-incompatible upgrade, so there will be some (hopefully not too much) conversion effort.
That library returns plain protobuf objects, which can be serialized to JSON using:
from google.protobuf.json_format import MessageToJson
serialized = MessageToJson(original)
You can also use something like protobuf3-to-dict
I am trying to convert yyyyMMdd format to yyyy/MM/dd format using pig for that i have written below code.
Code:
STOCK_A = LOAD '/user/root/xxxx/*' USING PigStorage('|');
data = FILTER STOCK_A BY ($1 matches '.*ID.*');
MSH_DATA = FOREACH data GENERATE ToDate($8,'yyyy/MM/dd','UTC') AS dob;
When i am trying to dump the result i am getting below error.
ERROR org.apache.pig.tools.pigstats.SimplePigStats - ERROR 0:
Exception while executing [POUserFunc (Name:
POUserFunc(org.apache.pig.builtin.ToDate3ARGS)[datetime] - scope-209
Operator Key: scope-209) children: null at []]:
java.lang.IllegalArgumentException: Invalid format: "19690321" is too
short
Sample:
EXVORV##PDULD21F|ID|1|483|1020783||EXVORV##PDULD||19690321|F|
$8 seems valid to me i am not able to locate the reason the issue is coming. Any help would be really appreciated.
You use :
ToDate($8,'yyyy/MM/dd','UTC')
but the format is
19690321
so you should have
ToDate($8,'yyyyMMdd','UTC')
The issue is most likely because of the load statement.Since you are not specifying the schema the datatype by default will be bytearray. You will have to convert it to chararray before passing the field to ToDate
STOCK_A = LOAD '/user/root/xxxx/*' USING PigStorage('|');
data = FILTER STOCK_A BY ($1 matches '.*ID.*');
MSH_DATA = FOREACH data GENERATE ToDate((chararray)$8,'yyyy/MM/dd','UTC') AS dob;
this work :
mybot.sendDocument(chat_id=chatid, document=open('bla.pdf', rb'))
But if I did before :
with open('bla.pdf', 'rb') as fp:
b = fp.read()
I can't do :
mybot.sendDocument(chat_id=chatid, document=b)
The error is :
TypeError: Object of type 'bytes' is not JSON serializable
I use python 3.5.2 win or linux
Thanks for answer
sorry I didn't see your answer.
My trouble was I wanted to send a downloaded document, not a document on disk.
I resolved it like this :
mybot.sendDocument(chat_id=chatid,document=io.BytesIO(self.downloaded_file))
Try to send just a file object:
mybot.sendDocument(chat_id=chatid, document=open('bla.pdf', 'rb'))