I come here because I am searching (like the title mentionned) to do a query from geotools (through geoserver) to get feature from a solr index.
To be more precise :
I saw on geoserver user manual that i can do query on solr like this in http :
http://localhost:8080/geoserver/wfs?service=WFS&version=1.1.0&request=GetFeature
&typeName=mySolrLayer
&format="xxx"
&viewparams=q:"mySolrQuery"
The important part on this URL is the viewparams that I want to use directly from geotools.
I have already test this case (this is a part of my code):
url = new URL(
"http://localhost:8080/geoserver/wfs?request=GetCapabilities&VERSION=1.1.0";
);
Map<String, String> param = new HashMap();
params.put(WFSDataStoreFactory.URL.key, url);
param.put("viewparams","q:myquery");
Hints hints = new Hints();
hints.put(Hints.VIRTUAL_TABLE_PARAMETERS, viewParams);
query.setHints(hints);
...
featureSource.getFeatures(query);
But here, it seems to doesn't work, the url send to geoserver is a normal "GET FEATURE" request without the viewparams parameter.
I tried this with geotools-12.2 ; geotools-13.2 and geotools-15-SNAPSHOT but I didn't succeed to pass the query, geoserver send me all the feature in my database and doesn't take "viewparams" as a param.
I need to do it like this because actually the query come from another program and I would easily communicate this query to another part of the project...
If someone can help me ?
There doesn't currently seem to be a way to do this in the GeoTool's WFSDatastore implementations as the GetFeature request is constructed from the URL provided by the getCapabilities document. This is as the standard requires but it may be worth making a feature enhancement request to allow clients to override this string (as QGIS does for example) which would let you specify the additional parameter in your base URL which would then be passed to the server as you need.
Unfortunately the WFS module lives in Unsupported land at present so unless you have resources to work on this issue yourself and can provide a PR to implement it there is not a great chance of it being implemented.
Related
I cant find the solution anywhere and mine doesn't seem to work.
I just want to see the last plate string in the browser,or the few last plates,doesn't matter.
http://login:password#MY.IP/ISAPI/Traffic/channels/1/vehicleDetect/plates/
<AfterTime><picTime>2021-12-09T09:07:15Z</picTime></AfterTime>
I do have a plate taken exactly at the time im using in pictime,but the result im getting is;
This XML file does not appear to have any style information associated with it. The document tree is shown below.
<ResponseStatus xmlns="
http://www.hikvision.com/ver20/XMLSchema
" version="2.0">
<requestURL>
/ISAPI/Traffic/channels/1/vehicleDetect/plates/
<AfterTime>
<picTime>2021-12-09T09:01:15Z</picTime>
</AfterTime>
</requestURL>
<statusCode>4</statusCode>
<statusString>Invalid Operation</statusString>
<subStatusCode>invalidOperation</subStatusCode>
</ResponseStatus>
POSTMAN
Edit:
Are you certain that the ISAPI setting is enabled in the camera configuration?
It's not possible in the browser without some tool to send and process your API request.
Have you tried using Postman?
Don't forget to use a Digest Auth header.
from requests.auth import HTTPDigestAuth
import requests
url = 'http://<Your IP>/ISAPI/Traffic/channels/1/vehicleDetect/plates/'
data = "<AfterTime><picTime>20220912T192011+0400</picTime></AfterTime>"
r=requests.get(url, data =data,auth=HTTPDigestAuth('admin', 'password'))
print(r.text)
Try this one after enabling this setting in camera
Screenshot
Scenario: I've been stuck on this for way to long and I think solution might be easy but I just can't see it, this is the scenario:
cURL POST to http://localhost:8080/my_imports (raw JSON data on body)
->
MyImportsCustomHandler (extends ThreadedHttpRequestHandler [Validations]
->
MyObjectProcessor (extends Processor) [JSON deserialize and data massage]
->
MyFirstDocumentProcessor (extends DocumentProcessor) [Set some fields and save]
Problem is that execution never reaches MyFirstDocumentProcessor, likely because request didn't started from the document_api endpoints (intentionaly).
There are no errors thrown, just processing route never reaches the document processor chain, I think it should because on MyObjectProcessor I'm doing:
DocumentType type =
localDocHandler.getDocumentTypeManager().getDocumentType("my_doc");
DocumentId id = new DocumentId("id:default:my_doc::2");
Document document = new Document(type, id);
DocumentPut docPut = new DocumentPut(document);
Processing proc = com.yahoo.docproc.Processing.of(docPut);
I got this idea from here: https://github.com/vespa-engine/vespa/blob/master/docproc/src/test/java/com/yahoo/docproc/util/SplitterJoinerTestCase.java
but on that test I see this line splitter.process(p);, which I'm not able to find a suitable replacement that works inside a Processor, in that context I only have the Request, Execution and DocumentProcessingHandler
I hope somebody versed on Vespa con shine some light on this, is just the last hop on the processing chain that I can't bridge :|
To write documents from Java code, you need to use the Document Access API:
http://docs.vespa.ai/documentation/document-api-guide.html#document-access
A working solution is in https://github.com/vespa-engine/sample-apps/pull/44
I don't see a solution to this using the available api documentation.
It is also not available on the web console.
Is it possible to get the file url using the Watson Discovery Service?
If you need to store the original source/file URL, you can include it as a field within your documents in the Discovery service, then you will be able to query that field back out when needed.
I also struggled with this request but ultimately got it working using Python bindings into Watson Discovery. The online documentation and API reference is very poor; here's what I used to get it working:
(Assume you have a Watson Discovery service and have a created collection):
# Programmatic upload and retrieval of documents and metadata with Watson Discovery
from watson_developer_cloud import DiscoveryV1
import os
import json
discovery = DiscoveryV1(
version='2017-11-07',
iam_apikey='xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx',
url='https://gateway-syd.watsonplatform.net/discovery/api'
)
environments = discovery.list_environments().get_result()
print(json.dumps(environments, indent=2))
This gives you your environment ID. Now append to your code:
collections = discovery.list_collections('{environment-id}').get_result()
print(json.dumps(collections, indent=2))
This will show you the collection ID for uploading documents into programmatically. You should have a document to upload (in my case, an MS Word document), and its accompanying URL from your own source document system. I'll use a trivial fictitious example.
NOTE: the documentation DOES NOT tell you to append , 'rb' to the end of the open statement, but it is required when uploading a Word document, as in my example below. Raw text / HTML documents can be uploaded without the 'rb' parameter.
url = {"source_url":"http://mysite/dis030.docx"}
with open(os.path.join(os.getcwd(), '{path to your document folder with trailing / }', 'dis030.docx'), 'rb') as fileinfo:
add_doc = discovery.add_document('{environment-id}', '{collections-id}', metadata=json.dumps(url), file=fileinfo).get_result()
print(json.dumps(add_doc, indent=2))
print(add_doc["document_id"])
Note the setting up of the metadata as a JSON dictionary, and then encoding it using json.dumps within the parameters. So far I've only wanted to store the original source URL but you could extend this with other parameters as your own use case requires.
This call to Discovery gives you the document ID.
You can now query the collection and extract the metadata using something like a Discovery query:
my_query = discovery.query('{environment-id}', '{collection-id}', natural_language_query="chlorine safety")
print(json.dumps(my_query.result["results"][0]["metadata"], indent=2))
Note - I'm extracting just the stored metadata here from within the overall returned results - if you instead just had:
print(my_query) you'll get the full response from Discovery ... but ... there's a lot to go through to identify just your own custom metadata.
When uploading to GCS (Google Cloud Storage) using the BlobStore's createUploadURL function, I can provide a callback together with header data that will be POSTed to the callback URL.
There doesn't seem to be a way to do that with GCS's signed URL's
I know there is Object Change Notification but that won't allow the user to provide upload specific information in the header of a POST, the way it is possible with createUploadURL's callback.
My feeling is, if createUploadURL can do it, there must be a way to do it with signed URL's, but I can't find any documentation on it. I was wondering if anyone may know how createUploadURL achieves that callback calling behavior.
PS: I'm trying to move away from createUploadURL because of the __BlobInfo__ entities it creates, which for my specific use case I do not need, and somehow seem to be indelible and are wasting storage space.
Update: It worked! Here is how:
Short Answer: It cannot be done with PUT, but can be done with POST
Long Answer:
If you look at the signed-URL page, in front of HTTP_Verb, under Description, there is a subtle note that this page is only relevant to GET, HEAD, PUT, and DELETE, but POST is a completely different game. I had missed this, but it turned out to be very important.
There is a whole page of HTTP Headers that does not list an important header that can be used with POST; that header is success_action_redirect, as voscausa correctly answered.
In the POST page Google "strongly recommends" using PUT, unless dealing with form data. However, POST has a few nice features that PUT does not have. They may worry that POST gives us too many strings to hang ourselves with.
But I'd say it is totally worth dropping createUploadURL, and writing your own code to redirect to a callback. Here is how:
Code:
If you are working in Python voscausa's code is very helpful.
I'm using apejs to write javascript in a Java app, so my code looks like this:
var exp = new Date()
exp.setTime(exp.getTime() + 1000 * 60 * 100); //100 minutes
json['GoogleAccessId'] = String(appIdentity.getServiceAccountName())
json['key'] = keyGenerator()
json['bucket'] = bucket
json['Expires'] = exp.toISOString();
json['success_action_redirect'] = "https://" + request.getServerName() + "/test2/";
json['uri'] = 'https://' + bucket + '.storage.googleapis.com/';
var policy = {'expiration': json.Expires
, 'conditions': [
["starts-with", "$key", json.key],
{'Expires': json.Expires},
{'bucket': json.bucket},
{"success_action_redirect": json.success_action_redirect}
]
};
var plain = StringToBytes(JSON.stringify(policy))
json['policy'] = String(Base64.encodeBase64String(plain))
var result = appIdentity.signForApp(Base64.encodeBase64(plain, false));
json['signature'] = String(Base64.encodeBase64String(result.getSignature()))
The code above first provides the relevant fields.
Then creates a policy object. Then it stringify's the object and converts it into a byte array (you can use .getBytes in Java. I had to write a function for javascript).
A base64 encoded version of this array, populates the policy field.
Then it is signed using the appidentity package. Finally the signature is base64 encoded, and we are done.
On the client side, all members of the json object will be added to the Form, except the uri which is the form's address.
var formData = new FormData(document.forms.namedItem('upload'));
var blob = new Blob([thedata], {type: 'application/json'})
var keys = ['GoogleAccessId', 'key', 'bucket', 'Expires', 'success_action_redirect', 'policy', 'signature']
for(field in keys)
formData.append(keys[field], url[keys[field]])
formData.append('file', blob)
var rest = new XMLHttpRequest();
rest.open('POST', url.uri)
rest.onload = callback_function
rest.send(formData)
If you do not provide a redirect, the response status will be 204 for success. But if you do redirect, the status will be 200. If you got 403 or 400 something about the signature or policy maybe wrong. Look at the responseText. If is often helpful.
A few things to note:
Both POST and PUT have a signature field, but these mean slightly different things. In case of POST, this is a signature of the policy.
PUT has a baseurl which contains the key (object name), but the URL used for POST may only include bucket name
PUT requires expiration as seconds from UNIX epoch, but POST wants it as an ISO string.
A PUT signature should be URL encoded (Java: by wrapping it with a URLEncoder.encode call). But for POST, Base64 encoding suffices.
By extension, for POST do Base64.encodeBase64String(result.getSignature()), and do not use the Base64.encodeBase64URLSafeString function
You cannot pass extra headers with the POST; only those listed in the POST page are allowed.
If you provide a URL for success_action_redirect, it will receive a GET with the key, bucket and eTag.
The other benefit of using POST is you can provide size limits. With PUT however, if a file breached your size restriction, you can only delete it after it was fully uploaded, even if it is multiple-tera-bytes.
What is wrong with createUploadURL?
The method above is a manual createUploadURL.
But:
You don't get those __BlobInfo__ objects which create many indexes and are indelible. This irritates me as it wastes a lot of space (which reminds me of a separate issue: issue 4231. Please go give it a star)
You can provide your own object name, which helps create folders in your bucket.
You can provide different expiration dates for each link.
For the very very few javascript app-engineers:
function StringToBytes(sz) {
map = function(x) {return x.charCodeAt(0)}
return sz.split('').map(map)
}
You can include succes_action_redirect in a policy document when you use GCS post object.
Docs here: Docs: https://cloud.google.com/storage/docs/xml-api/post-object
Python example here: https://github.com/voscausa/appengine-gcs-upload
Example callback result:
def ok(self):
""" GCS upload success callback """
logging.debug('GCS upload result : %s' % self.request.query_string)
bucket = self.request.get('bucket', default_value='')
key = self.request.get('key', default_value='')
key_parts = key.rsplit('/', 1)
folder = key_parts[0] if len(key_parts) > 1 else None
A solution I am using is to turn on Object Changed Notifications. Any time an object is added, a Post is sent to a URL - in my case - a servlet in my project.
In the doPost() I get all info of objected added to GCS and from there, I can do whatever.
This worked great in my App Engine project.
I want to parse Swagger data from the JSON I get from {service}/swagger/docs/v1 into dynamically generated .NET class.
The problem I am facing is that different APIs can have different number of parameters and operations. How do I dynamically parse Swagger JSON data for different services?
My end result should be list of all APIs and it's operations in a variable on which I can perform search easily.
Did you ever find an answer for this? Today I wanted to do the same thing, so I used the AutoRest open source project from MSFT, https://github.com/Azure/autorest. While it looks like it's designed for generating client code (code to consume the API documented by your swagger document), at some point on the way producing this code it had to of done exactly what you asked in your question - parse the Swagger file and understand the operations, inputs and outputs the API supports.
In fact we can get at this information - AutoRest publically exposes this information.
So use nuget to install AutoRest. Then add a reference to AutoRest.core and AutoRest.Model.Swagger. So far I've just simply gone for:
using Microsoft.Rest.Generator;
using Microsoft.Rest.Generator.Utilities;
using System.IO;
...
var settings = new Settings();
settings.Modeler = "Swagger";
var mfs = new MemoryFileSystem();
mfs.WriteFile("AutoRest.json", File.ReadAllText("AutoRest.json"));
mfs.WriteFile("Swagger.json", File.ReadAllText("Swagger.json"));
settings.FileSystem = mfs;
var b = System.IO.File.Exists("AutoRest.json");
settings.Input = "Swagger.json";
Modeler modeler = Microsoft.Rest.Generator.Extensibility.ExtensionsLoader.GetModeler(settings);
Microsoft.Rest.Generator.ClientModel.ServiceClient serviceClient;
try
{
serviceClient = modeler.Build();
}
catch (Exception exception)
{
throw new Exception(String.Format("Something nasty hit the fan: {0}", exception.Message));
}
The swagger document you want to parse is called Swagger.json and is in your bin directory. The AutoRest.json file you can grab from their GitHub (https://github.com/Azure/autorest/tree/master/AutoRest/AutoRest.Core.Tests/Resource). I'm not 100% sure how it's used, but it seems it's needed to inform the tool about what is supports. Both JSON files need to be in your bin.
The serviceClient object is what you want. It will contain information about the methods, model types, method groups
Let me know if this works. You can try it with their resource files. I used their ExtensionLoaderTests for reference when I was playing around(https://github.com/Azure/autorest/blob/master/AutoRest/AutoRest.Core.Tests/ExtensionsLoaderTests.cs).
(Also thank you to the Denis, an author of AutoRest)
If still a question you can use Swagger Parser library:
https://github.com/swagger-api/swagger-parser
as simple as:
// parse a swagger description from the petstore and get the result
SwaggerParseResult result = new OpenAPIParser().readLocation("https://petstore3.swagger.io/api/v3/openapi.json", null, null);