I got a question when running the Jupyter Notebook Tutorial file which provides in Hyperledger Fabric Python SDK. The error occurs when I try to run the code which could install an example chaincode which can be found at test/fixtures/chaincode on the peers of org1.
It shows error: the loop is not defined. But when I add the code before loop = asyncio.get_event_loop(). It also shows error: RuntimeError: This event loop is already running.
How can I solve this problem?
Looks like the python sdk tutorial you're referring to is: https://github.com/hyperledger/fabric-sdk-py/blob/master/Tutorial.ipynb
and this references contract: https://github.com/hyperledger/fabric-sdk-py/blob/master/test/fixtures/chaincode/src/github.com/example_cc/example_cc.go
The first loops is this one:
Run the below code snippet to install an example chaincode which can be found at test/fixtures/chaincode on the peers of org1.
In [ ]:
# This installs the example chaincode on the peers
# Make the client know there is a channel in the network
cli.new_channel('businesschannel')
#The GOPTAH settings is required for only running the example chaincode in the SDK
import os
gopath_bak = os.environ.get('GOPATH', '')
gopath = os.path.normpath(os.path.join(
os.path.dirname(os.path.realpath('__file__')),
'test/fixtures/chaincode'
))
# The response should be true if succeed
responses = loop.run_until_complete(cli.chaincode_install( <<<<<<<<< Here
requestor=org1_admin,
peers=['peer0.org1.example.com',
'peer1.org1.example.com'],
cc_path='github.com/example_cc',
cc_name='example_cc',
cc_version='v1.0'
))
If you can confirm some of this with a comment response or include it in your post above it might help get an answer. I've just read the question and tried searching for the bits of info your referring to... without explicit examples of what you're talking about, you're going to find it hard to get a response though.
Related
I've got Caliper configured as a subtree of my custom Fabric blockchain. I have it configured correctly in order to connect the network and am running a small set of tests at the moment. The arguments I'm providing are absolutely correct in terms of the custom chaincode being run, but whenever I try to create a transaction via Caliper I get the error:
Failed to perform submit transaction [CreateAsset] using arguments [<ARGS>], with error: TypeError: Cannot read property 'status' of undefined
Anybody encountered this before with Caliper V0.4.2? It's interfacing with a Fabric 2.3.3 instance on local machine via Kubernetes, with the latest SDK bound.
The error occurs on line 237 of transactions.js inside the node_module fabric-network, where there is a strict property comparison on a commit object.
Also it's worth noting that the querying part of my test rounds is yielding expected results... none of those assets get created due to the error thrown, and when querying for a given asset an error like so occurs:
Failed to perform query transaction [ReadAsset] using arguments [<ID>], with error: Error: error in simulation: transaction returned with failure: Error: The asset <ID> does not exist
The closest thing I've been able to find is this ~2 year old issue which isn't exactly what I'm facing but it's the same sort of error at least... any help or pointers would be greatly appreciated because I'm struggling to glean useful information. (Link: https://github.com/hyperledger/caliper/issues/727)
The issue was due to the host names being converted to localhost when you want to work anything except a network running locally via docker. You need to launch caliper with the following extra option
--caliper-fabric-gateway-localhost false
I am trying to run asset-transfer-basic sample program from hyperledger 2.2 (I am using the GO sample programs) My test network is up -- I am able to interact with it by doing "peer chaincode invoke" and exercising different contract methods -- including InitLedger.
However, when trying to run assetTransfer.go program, it blows up when doing:
result, err := contract.SubmitTransaction("InitLedger")
The error message is:
failed to evaluate transaction: Failed to submit: CreateAndSendTransaction failed: SendTransaction failed: orderers is nil
Any clues? THank you
Your length of orderers is zero. You have to set at least one orderer for this process in your fabric-sdk-go code.
This seems to be a bug in the Go SDK. In its current form, the asset-transfer-basic app, the Go flavor, simply does not work.
I want to create a wallet for new rest api server, but whenever I call code to generate new Wallet I'm getting error like
"Decoding SignatureHeader failed: Error illegal buffer ..."
Here is screen shot of my code, it is taken from virtual machine
I'm using hyperledger fabric 2.2 and run under the fabric-samples/test-network
I was clone this HyperledgerFabroc
Here is also print screen of the error:
I would appreciate if someone can navigate me how to manage successfully to create a wallet ?
Your error looks to be occurring within a chaincode transaction function. You should not be using the client SDK to do a transaction invocation from within chaincode. Instead look to use the invokeChaincode function on the stub:
https://hyperledger.github.io/fabric-chaincode-node/release-1.4/api/fabric-shim.ChaincodeStub.html#invokeChaincode
I can confirm the 3-replica cluster of h2o inside K3s is correctly deployed, as executing in the Python3 interpreter h2o.init(ip="x.x.x.x") works as expected. I followed the instructions noted here: https://www.h2o.ai/blog/running-h2o-cluster-on-a-kubernetes-cluster/
Nevertheless, I had to modify the service.yaml and comment out the line which says clusterIP: None, as K3s was complaining about something related to its inability to set the clusterIP to None. But even though, I can certify it is working correctly, and I am able to use an external IP to connect to the cluster.
If I try to load the dataset using the h2o cluster inside the K3s cluster using the exact same steps as described here http://docs.h2o.ai/h2o/latest-stable/h2o-docs/automl.html, this is the output that I get:
>>> train = h2o.import_file("https://s3.amazonaws.com/erin-data/higgs/higgs_train_10k.csv")
...
h2o.exceptions.H2OResponseError: Server error java.lang.IllegalArgumentException:
Error: Key not loaded: Key<Frame> https://s3.amazonaws.com/erin-data/higgs/higgs_train_10k.csv
Request: POST /3/ParseSetup
data: {'check_header': '0', 'source_frames': '["https://s3.amazonaws.com/erin-data/higgs/higgs_train_10k.csv"]'}
The same error occurs if I use the h2o.upoad_file("x.csv") method.
There is a clue about what may be happening here: Key not loaded: Key<Frame> while POSTing source frame through ParseSetup in H2O API call but I am not using curl, and I can not find any parameter that could help me overcome this issue: http://docs.h2o.ai/h2o/latest-stable/h2o-py/docs/h2o.html?highlight=import_file#h2o.import_file
I need to use the Python client inside the same K3s cluster due to different technical reasons, so I am not able to kick off nor Flow nor Firebug to know what may be happening.
I can confirm it is working correctly when I simply issue a h2o.init(), using the local Java instance.
UPDATE 1:
I have tried in different K3s clusters without success. I changed the service.yaml to a NodePort, and now this is the error traceback:
>>> train = h2o.import_file("https://s3.amazonaws.com/erin-data/higgs/higgs_train_10k.csv")
...
h2o.exceptions.H2OResponseError: Server error java.lang.IllegalArgumentException:
Error: Job is missing
Request: GET /3/Jobs/$03010a2a016132d4ffffffff$_a2366be93ec99a78d7bc161de8c54d67
UPDATE 2:
I have tried using different services (NodePort, LoadBalancer, ClusterIP) and none of them work. I also have tried using Minikube with the official image, and with a custom image made by me, without success. I suspect this is something related to either h2o itself, or the clustering between pods. I will keep digging and let's think there will be some gold in it.
UPDATE 3:
I also found out that the post about running H2O in Docker is really outdated https://www.h2o.ai/blog/h2o-docker/ nor is working the Dockerfile present at GitHub (I changed it to uncomment the ENTRYPOINT section without success): https://github.com/h2oai/h2o-3/blob/master/Dockerfile
Even though, I tried with the custom image I built for h2o-k8s and it is working seamlessly in pure Docker. I am wondering why it is still not working in K8s...
UPDATE 4:
I have tried modifying the environment variable called H2O_KUBERNETES_SERVICE_DNS without success.
In the meantime, the cluster started to be unavailable, that is, the readinessProbe's would not successfully complete. No matter what I change now, it does not work.
I spinned up a K3d cluster in local to see what happened, and surprisingly, the readinessProbe's were not failing, using v3.30.0.6. But now I started testing it with R instead of Python. I am glad I tried, because I may have pinpointed what was wrong. There is a version mismatch between the client and the server. So I updated accordingly the image to v3.30.0.1.
But now again, the readinessProbe is not working in my k3d cluster, so I am unable to test it.
It seems it is working now. R client version 3.30.0.1 with server version 3.30.0.1. Also tried with Python version 3.30.0.7 and server version 3.30.0.7 and it started working. Marvelous. The problem was caused by a version mismatch between the client and the server, as the python client was updated to 3.30.0.7 while the latest server for docker was 3.30.0.6.
I've been working around with Fabric for a a few months now, and I've been trying to run a somewhat complex virtual machine, the Ethereum Virtual Machine within a chaincode. It is written in JavaScript so I worked with the nodeJS chaincode version.
I packed the the VM with my chaincode in a directory that i install and instantiate onto the peer. The install completes and exits with no errors, however the instantiation after hanging for a few minutes returns me an error:
Error: Error endorsing chaincode: rpc error: code = Unknown desc = timeout expired while starting chaincode mychaincode:1.0(networkid:dev,peerid:peer0.org1.example.com,tx:....
It should run for quite a few minutes at least as the added packages are ~15MB, according to the example nodejs chaincode runs for a minute at least.
The example nodejs chaincode (chaincode_example02) runs perfectly on both BYFN network from the tutorial and on a basic-network that I've started. My environment was set up according to the documentation (v1.1.0) from the fabric-samples repository (v1.1.0). Even if I only add one package to the example chaincode with the require method, it hangs, than return error.
I've been searching for a flag or config where I can set the timeout value for chaincode instantiation, but with no luck. Where could I increase the timeout value?
Which log should I provide in order to step forward in searching for the soution?
Thanks is advance,
Balint
You can modify the chaincode.startuptimeout config by adding a CORE_CHAINCODE_STARTUPTIMEOUT environment variable to the base/peer-base.yaml docker compose file specifying something other than the default.