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RasaHQ / rasa

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
https://rasa.com/docs/rasa/
Apache License 2.0
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Unable to run action server from Dockerfile #5838

Closed sushilr007 closed 3 years ago

sushilr007 commented 4 years ago

Rasa version: 1.10.0

Rasa SDK version: 1.10.0

Python version: 3.6.5

Operating system: Windows 10

Issue: I have docker-compose file In that I have two container rasa server and action server. but only rasa server is starting not action one. I have actions.py and init.py in the actions folder. folder structure: docker-compose.yml actions └─── actions.py Dockerfile init.py backend └─── Dockerfile config.yml credentials.yml domain.yml endpoints.yml └───data nlu.md stories.md

Error (including full traceback):

Building rasa
Step 1/10 : FROM rasa/rasa:1.10.0-full
 ---> 540ad250374c
Step 2/10 : USER root
 ---> Running in 7a6784289f9e
Removing intermediate container 7a6784289f9e
 ---> d0b77fc818c0
Step 3/10 : WORKDIR /app
 ---> Running in c99b39071107
Removing intermediate container c99b39071107
 ---> 96ddbb5ed969
Step 4/10 : COPY . /app
 ---> 28e3a4feaa5f
Step 5/10 : COPY ./data /app/data
 ---> 9865cd3386f1
Step 6/10 : RUN  rasa train -c ./config.yml -d ./domain.yml --data ./data --debug
 ---> Running in e2f07cc67c77
2020-05-16 08:19:38 DEBUG    rasa.nlu.training_data.loading  - Training data format of './data/nlu.md' is 'md'.
2020-05-16 08:19:38 DEBUG    rasa.nlu.training_data.loading  - Training data format of './data/responses.md' is 'unk'.
2020-05-16 08:19:38 DEBUG    rasa.nlu.training_data.loading  - Training data format of './data/stories.md' is 'unk'.
2020-05-16 08:19:38 DEBUG    pykwalify.compat  - Using yaml library: /opt/venv/lib/python3.7/site-packages/ruamel/yaml/__init__.py
2020-05-16 08:19:38 DEBUG    rasa.nlu.training_data.loading  - Training data format of './data/nlu.md' is 'md'.
2020-05-16 08:19:38 DEBUG    rasa.nlu.training_data.loading  - Training data format of './data/nlu.md' is 'md'.
2020-05-16 08:19:42 INFO     rasa.core.policies.ensemble  - MappingPolicy not included in policy ensemble. Default intents 'restart and back will not trigger actions 'action_restart' and 'action_back'.
2020-05-16 08:19:42 DEBUG    rasa.core.nlg.generator  - Instantiated NLG to 'TemplatedNaturalLanguageGenerator'.
2020-05-16 08:19:42 DEBUG    rasa.core.training.generator  - Generated trackers will be deduplicated based on their unique last 5 states.
2020-05-16 08:19:42 DEBUG    rasa.core.training.generator  - Number of augmentation rounds is 3
2020-05-16 08:19:42 DEBUG    rasa.core.training.generator  - Starting data generation round 0 ... (with 1 trackers)
Processed Story Blocks: 100%|██████████| 6/6 [00:00<00:00, 1549.72it/s, # trackers=1]
2020-05-16 08:19:42 DEBUG    rasa.core.training.generator  - Finished phase (6 training samples found).
2020-05-16 08:19:42 DEBUG    rasa.core.training.generator  - Data generation rounds finished.
2020-05-16 08:19:42 DEBUG    rasa.core.training.generator  - Found 0 unused checkpoints
2020-05-16 08:19:42 DEBUG    rasa.core.training.generator  - Starting augmentation round 0 ... (with 6 trackers)
Processed Story Blocks: 100%|██████████| 6/6 [00:00<00:00, 374.09it/s, # trackers=6]
2020-05-16 08:19:42 DEBUG    rasa.core.training.generator  - Finished phase (42 training samples found).
2020-05-16 08:19:42 DEBUG    rasa.core.training.generator  - Starting augmentation round 1 ... (with 42 trackers)
Processed Story Blocks: 100%|██████████| 6/6 [00:00<00:00, 121.68it/s, # trackers=30]
2020-05-16 08:19:42 DEBUG    rasa.core.training.generator  - Finished phase (210 training samples found).
2020-05-16 08:19:43 DEBUG    rasa.core.training.generator  - Starting augmentation round 2 ... (with 50 trackers)
Processed Story Blocks: 100%|██████████| 6/6 [00:00<00:00, 91.75it/s, # trackers=33]
2020-05-16 08:19:43 DEBUG    rasa.core.training.generator  - Finished phase (386 training samples found).
2020-05-16 08:19:43 DEBUG    rasa.core.training.generator  - Found 386 training trackers.
2020-05-16 08:19:43 DEBUG    rasa.core.training.generator  - Subsampled to 380 augmented training trackers.
2020-05-16 08:19:43 DEBUG    rasa.core.training.generator  - There are 6 original trackers.
2020-05-16 08:19:43 DEBUG    rasa.core.agent  - Agent trainer got kwargs: {}
2020-05-16 08:19:43 DEBUG    rasa.core.featurizers  - Creating states and action examples from collected trackers (by MaxHistoryTrackerFeaturizer(NoneType))...
Processed trackers: 100%|██████████| 6/6 [00:00<00:00, 1021.71it/s, # actions=18]
2020-05-16 08:19:43 DEBUG    rasa.core.featurizers  - Created 18 action examples.
Processed actions: 18it [00:00, 1805.73it/s, # examples=18]
2020-05-16 08:19:43 DEBUG    rasa.core.policies.memoization  - Memorized 18 unique examples.
2020-05-16 08:19:43 DEBUG    rasa.core.featurizers  - Creating states and action examples from collected trackers (by MaxHistoryTrackerFeaturizer(LabelTokenizerSingleStateFeaturizer))...
Processed trackers: 100%|██████████| 386/386 [00:00<00:00, 454.53it/s, # actions=234]
2020-05-16 08:19:43 DEBUG    rasa.core.featurizers  - Created 234 action examples.
2020-05-16 08:19:43.990074: E tensorflow/stream_executor/cuda/cuda_driver.cc:351] failed call to cuInit: UNKNOWN ERROR (303)
2020-05-16 08:19:44 DEBUG    rasa.utils.tensorflow.models  - Building tensorflow train graph...
2020-05-16 08:19:55 DEBUG    rasa.utils.tensorflow.models  - Finished building tensorflow train graph.
Epochs: 100%|██████████| 100/100 [00:14<00:00,  6.72it/s, t_loss=0.152, loss=0.081, acc=1.000]
2020-05-16 08:20:10 INFO     rasa.utils.tensorflow.models  - Finished training.
2020-05-16 08:20:10 INFO     rasa.core.agent  - Persisted model to '/tmp/tmpcyx6t762/core'
2020-05-16 08:20:11 INFO     rasa.nlu.utils.spacy_utils  - Trying to load spacy model with name 'en'
2020-05-16 08:20:35 INFO     rasa.nlu.components  - Added 'SpacyNLP' to component cache. Key 'SpacyNLP-en'.
2020-05-16 08:20:35 DEBUG    rasa.nlu.training_data.loading  - Training data format of './data/nlu.md' is 'md'.
2020-05-16 08:20:35 INFO     rasa.nlu.training_data.training_data  - Training data stats:
2020-05-16 08:20:35 INFO     rasa.nlu.training_data.training_data  - Number of intent examples: 46 (8 distinct intents)
2020-05-16 08:20:35 INFO     rasa.nlu.training_data.training_data  -   Found intents: 'deny', 'partners', 'bot_challenge', 'greet', 'mood_great', 'affirm', 'mood_unhappy', 'goodbye'
2020-05-16 08:20:35 INFO     rasa.nlu.training_data.training_data  - Number of response examples: 0 (0 distinct responses)
2020-05-16 08:20:35 INFO     rasa.nlu.training_data.training_data  - Number of entity examples: 0 (0 distinct entities)
2020-05-16 08:20:35 DEBUG    rasa.nlu.training_data.training_data  - Validating training data...
2020-05-16 08:20:35 INFO     rasa.nlu.model  - Starting to train component SpacyNLP
2020-05-16 08:20:35 INFO     rasa.nlu.model  - Finished training component.
2020-05-16 08:20:35 INFO     rasa.nlu.model  - Starting to train component SpacyTokenizer
2020-05-16 08:20:35 INFO     rasa.nlu.model  - Finished training component.
2020-05-16 08:20:35 INFO     rasa.nlu.model  - Starting to train component SpacyFeaturizer
2020-05-16 08:20:35 INFO     rasa.nlu.model  - Finished training component.
2020-05-16 08:20:35 INFO     rasa.nlu.model  - Starting to train component DIETClassifier
/opt/venv/lib/python3.7/site-packages/rasa/utils/common.py:351: UserWarning: You specified 'DIET' to train entities, but no entities are present in the training data. Skip training of entities.
2020-05-16 08:20:35 DEBUG    rasa.utils.tensorflow.models  - Building tensorflow train graph...
2020-05-16 08:20:43 DEBUG    rasa.utils.tensorflow.models  - Finished building tensorflow train graph.
Epochs: 100%|██████████| 100/100 [00:15<00:00,  6.54it/s, t_loss=0.681, i_loss=0.457, i_acc=0.978]
2020-05-16 08:20:58 INFO     rasa.utils.tensorflow.models  - Finished training.
2020-05-16 08:20:58 INFO     rasa.nlu.model  - Finished training component.
2020-05-16 08:20:58 INFO     rasa.nlu.model  - Starting to train component EntitySynonymMapper
2020-05-16 08:20:58 INFO     rasa.nlu.model  - Finished training component.
2020-05-16 08:20:59 INFO     rasa.nlu.model  - Successfully saved model into '/tmp/tmpcyx6t762/nlu'
Training Core model...
Core model training completed.
Training NLU model...
NLU model training completed.
Your Rasa model is trained and saved at '/app/models/20200516-082100.tar.gz'.
Removing intermediate container e2f07cc67c77
 ---> 1c79197183a9
Step 7/10 : VOLUME /app
 ---> Running in d01aa03f7e4b
Removing intermediate container d01aa03f7e4b
 ---> 66461f758447
Step 8/10 : VOLUME /app/data
 ---> Running in b19ac89ad940
Removing intermediate container b19ac89ad940
 ---> 527dcae8db84
Step 9/10 : VOLUME /app/models
 ---> Running in 0ef6d60787be
Removing intermediate container 0ef6d60787be
 ---> 71860e4217e9
Step 10/10 : RUN ls
 ---> Running in 260583de97aa
Dockerfile
config.yml
credentials.yml
data
domain.yml
endpoints.yml
models
Removing intermediate container 260583de97aa
 ---> 5a1c6a85a306
Successfully built 5a1c6a85a306
Successfully tagged velementchatbot_rasa:latest
Building action_server
Step 1/6 : FROM rasa/rasa-sdk:1.10.0
 ---> 5114b1f9a8af
Step 2/6 : WORKDIR /app
 ---> Running in a6082188019a
Removing intermediate container a6082188019a
 ---> 0700ed751194
Step 3/6 : USER root
 ---> Running in a89ca04a89d6
Removing intermediate container a89ca04a89d6
 ---> 3fac23a8793f
Step 4/6 : RUN python -m pip install --upgrade pip
 ---> Running in 9fa1bee75985
Collecting pip
  Downloading pip-20.1-py2.py3-none-any.whl (1.5 MB)
Installing collected packages: pip
  Attempting uninstall: pip
    Found existing installation: pip 20.0.2
    Uninstalling pip-20.0.2:
      Successfully uninstalled pip-20.0.2
Successfully installed pip-20.1
Removing intermediate container 9fa1bee75985
 ---> 6f59b6af9f74
Step 5/6 : COPY . /app/actions
 ---> c05b52a81294
Step 6/6 : VOLUME /app
 ---> Running in e4276c102ac7
Removing intermediate container e4276c102ac7
 ---> 848249162bfe
Successfully built 848249162bfe
Successfully tagged velementchatbot_action_server:latest
Recreating action_server ... error                                                                                                                                      Recreating rasa_server   ...

ERROR: for action_server  no such image: sha256:4baee55c1091895829f7edd86fbd70a978dadddb0e0536fee18870b1e24e2113: No such image: sha256:4baee55c1091895829f7edd86fbd70a9Recreating rasa_server   ... error                                                                                                                                      
ERROR: for rasa_server  no such image: sha256:cb7cc57c8020ceabb105893c5e44f8d8aedb51a1fa72f6284569859115a605e7: No such image: sha256:cb7cc57c8020ceabb105893c5e44f8d8aedb51a1fa72f6284569859115a605e7

ERROR: for action_server  no such image: sha256:4baee55c1091895829f7edd86fbd70a978dadddb0e0536fee18870b1e24e2113: No such image: sha256:4baee55c1091895829f7edd86fbd70a978dadddb0e0536fee18870b1e24e2113

ERROR: for rasa  no such image: sha256:cb7cc57c8020ceabb105893c5e44f8d8aedb51a1fa72f6284569859115a605e7: No such image: sha256:cb7cc57c8020ceabb105893c5e44f8d8aedb51a1fa72f6284569859115a605e7
ERROR: The image for the service you're trying to recreate has been removed. If you continue, volume data could be lost. Consider backing up your data before continuing.

Continue with the new image? [yN]y
Building rasa
Step 1/10 : FROM rasa/rasa:1.10.0-full
 ---> 540ad250374c
Step 2/10 : USER root
 ---> Using cache
 ---> d0b77fc818c0
Step 3/10 : WORKDIR /app
 ---> Using cache
 ---> 96ddbb5ed969
Step 4/10 : COPY . /app
 ---> Using cache
 ---> 28e3a4feaa5f
Step 5/10 : COPY ./data /app/data
 ---> Using cache
 ---> 9865cd3386f1
Step 6/10 : RUN  rasa train -c ./config.yml -d ./domain.yml --data ./data --debug
 ---> Using cache
 ---> 1c79197183a9
Step 7/10 : VOLUME /app
 ---> Using cache
 ---> 66461f758447
Step 8/10 : VOLUME /app/data
 ---> Using cache
 ---> 527dcae8db84
Step 9/10 : VOLUME /app/models
 ---> Using cache
 ---> 71860e4217e9
Step 10/10 : RUN ls
 ---> Using cache
 ---> 5a1c6a85a306
Successfully built 5a1c6a85a306
Successfully tagged velementchatbot_rasa:latest
Building action_server
Step 1/6 : FROM rasa/rasa-sdk:1.10.0
 ---> 5114b1f9a8af
Step 2/6 : WORKDIR /app
 ---> Using cache
 ---> 0700ed751194
Step 3/6 : USER root
 ---> Using cache
 ---> 3fac23a8793f
Step 4/6 : RUN python -m pip install --upgrade pip
 ---> Using cache
 ---> 6f59b6af9f74
Step 5/6 : COPY . /app/actions
 ---> Using cache
 ---> c05b52a81294
Step 6/6 : VOLUME /app
 ---> Using cache
 ---> 848249162bfe
Successfully built 848249162bfe
Successfully tagged velementchatbot_action_server:latest
Recreating 5bda464dfc54_action_server ... done                                                                                                                          Recreating 94bd4b2fbfef_rasa_server   ... done                                                                                                                          Attaching to rasa_server, action_server
action_server    | 2020-05-16 08:22:37 INFO     rasa_sdk.endpoint  - Starting action endpoint server...
action_server    | 2020-05-16 08:22:38 INFO     rasa_sdk.executor  - Registered function for 'action_partner'.
rasa_server      | usage: rasa [-h] [--version]
rasa_server      |             {init,run,shell,train,interactive,test,visualize,data,export,x}
rasa_server      |             ...
rasa_server      |
rasa_server      | Rasa command line interface. Rasa allows you to build your own conversational
rasa_server      | assistants 🤖. The 'rasa' command allows you to easily run most common commands
rasa_server      | like creating a new bot, training or evaluating models.
rasa_server      |
rasa_server      | positional arguments:
rasa_server      |   {init,run,shell,train,interactive,test,visualize,data,export,x}
rasa_server      |                         Rasa commands
rasa_server      |     init                Creates a new project, with example training data,
rasa_server      |                         actions, and config files.
rasa_server      |     run                 Starts a Rasa server with your trained model.
rasa_server      |     shell               Loads your trained model and lets you talk to your
rasa_server      |                         assistant on the command line.
rasa_server      |     train               Trains a Rasa model using your NLU data and stories.
rasa_server      |     interactive         Starts an interactive learning session to create new
rasa_server      |                         training data for a Rasa model by chatting.
rasa_server      |     test                Tests Rasa models using your test NLU data and
rasa_server      |                         stories.
rasa_server      |     visualize           Visualize stories.
rasa_server      |     data                Utils for the Rasa training files.
rasa_server      |     export              Export conversations using an event broker.
rasa_server      |
rasa_server      | optional arguments:
rasa_server      |   -h, --help            show this help message and exit
rasa_server      |   --version             Print installed Rasa version
rasa_server exited with code 0

Command or request that led to error:

docker-compose up --build

docker-compose.yml:

version: '3'
services:
    rasa:
      container_name: "rasa_server"
      build: 
        context: backend
      ports: 
        - "5005:5005"
    action_server:
      container_name: "action_server"
      build: 
        context: actions
      volumes:
        - ./actions:/app/actions
      ports:
        - 5055:5055

Dockerfile from action folder:

FROM rasa/rasa-sdk:1.10.0

WORKDIR /app 
USER root
RUN python -m pip install --upgrade pip
# RUN pip install recognizers-text-suite
COPY .  /app/actions
VOLUME /app

Dockerfile of rasa server :

FROM rasa/rasa:1.10.0-full

USER root

WORKDIR /app
COPY . /app
COPY ./data /app/data

RUN  rasa train -c ./config.yml -d ./domain.yml --data ./data --debug 

VOLUME /app
VOLUME /app/data
VOLUME /app/models
CMD [ "run","-m","/app/models","--enable-api","--cors","*","--debug" ]
sara-tagger commented 4 years ago

Thanks for the issue, @degiz will get back to you about it soon!

You may find help in the docs and the forum, too 🤗
sushilr007 commented 4 years ago

Hello @degiz Can you please suggest me something about this? I am waiting for your response. Thank you.

kevinthenet commented 4 years ago

Your issue is not with your action server, it's from your Rasa server; the logs show that the action server started, but rasa-server returned with exit code 0.

Try this for your docker-compose.yml file (it basically just runs both servers explicitly)`:

version: '3'
services:
    rasa:
      container_name: "rasa_server"
      build: 
        context: backend
      command:
        - run
      ports: 
        - "5005:5005"
    action_server:
      container_name: "action_server"
      build: 
        context: actions
      command:
        - start
      volumes:
        - ./actions:/app/actions
      ports:
        - 5055:5055
sushilr007 commented 4 years ago

@ortsaCniveK I have tried that now I am getting this...

endpoints.yml

action_endpoint:
  url: "http://localhost:5055/webhook"
 Building rasa
Step 1/10 : FROM rasa/rasa:1.10.0-full
 ---> 540ad250374c
Step 2/10 : USER root
 ---> Using cache
 ---> f64308a2acc6
Step 3/10 : WORKDIR /app
 ---> Using cache
 ---> 8242852fc836
Step 4/10 : COPY . /app
 ---> Using cache
 ---> 8bffc3b54b5c
Step 5/10 : COPY ./data /app/data
 ---> Using cache
 ---> c5d9782ce076
Step 6/10 : RUN  rasa train -c ./config.yml -d ./domain.yml --data ./data --debug
 ---> Using cache
 ---> 4b546f65eef8
Step 7/10 : VOLUME /app
 ---> Using cache
 ---> ca626a8960d4
Step 8/10 : VOLUME /app/data
 ---> Using cache
 ---> 69ca5ac09967
Step 9/10 : VOLUME /app/models
 ---> Using cache
 ---> f4f61cb9b9a5
Step 10/10 : CMD ["run", "--cors" ,"*", "-m" ,"/app/models" ,"--enable-api" ,"--log-file", "out.log" ,"--endpoints" ,"endpoints.yml" ,"--debug"]
 ---> Using cache
 ---> 49ac9b429eb1
Successfully built 49ac9b429eb1
Successfully tagged velementchatbot_rasa:latest
Building action_server
Step 1/6 : FROM rasa/rasa-sdk:1.10.0
 ---> 5114b1f9a8af
Step 2/6 : WORKDIR /app
 ---> Using cache
 ---> 40adaf479d4c
Step 3/6 : USER root
 ---> Using cache
 ---> faf6811128e8
Step 4/6 : RUN python -m pip install --upgrade pip
 ---> Using cache
 ---> 8392307b8b01
Step 5/6 : COPY . /app/actions
 ---> Using cache
 ---> 702ece7e52ea
Step 6/6 : VOLUME /app
 ---> Using cache
 ---> 08ab8fd27ba0
Successfully built 08ab8fd27ba0
Successfully tagged velementchatbot_action_server:latest
Recreating rasa_server ... done                                                                                                      Starting action_server ... done                                                                                                      Attaching to action_server, rasa_server
action_server    | 2020-05-22 04:23:56 INFO     rasa_sdk.endpoint  - Starting action endpoint server...
rasa_server      | 2020-05-22 04:24:09 DEBUG    rasa.cli.utils  - Parameter 'credentials' not set. Using default location 'credentials.yml' instead.
rasa_server      | 2020-05-22 04:24:12 DEBUG    rasa.core.utils  - Available web server routes:
rasa_server      | /conversations/<conversation_id>/messages          POST                           add_message
rasa_server      | /conversations/<conversation_id>/tracker/events    POST                           append_events
rasa_server      | /webhooks/rasa                                     GET                            custom_webhook_RasaChatInput.health
rasa_server      | /webhooks/rasa/webhook                             POST                           custom_webhook_RasaChatInput.receive
rasa_server      | /webhooks/rest                                     GET                            custom_webhook_RestInput.health
rasa_server      | /webhooks/rest/webhook                             POST                           custom_webhook_RestInput.receive
rasa_server      | /model/test/intents                                POST                           evaluate_intents
rasa_server      | /model/test/stories                                POST                           evaluate_stories
rasa_server      | /conversations/<conversation_id>/execute           POST                           execute_action
rasa_server      | /domain                                            GET                            get_domain
rasa_server      | /socket.io                                         OPTIONS                        handle_request
rasa_server      | /                                                  GET                            hello
rasa_server      | /model                                             PUT                            load_model
rasa_server      | /model/parse                                       POST                           parse
rasa_server      | /conversations/<conversation_id>/predict           POST                           predict
rasa_server      | /conversations/<conversation_id>/tracker/events    PUT                            replace_events
rasa_server      | /conversations/<conversation_id>/story             GET                            retrieve_story
rasa_server      | /conversations/<conversation_id>/tracker           GET                            retrieve_tracker
rasa_server      | /webhooks/socketio                                 GET                            socketio_webhook.health
rasa_server      | /status                                            GET                            status
rasa_server      | /model/predict                                     POST                           tracker_predict
rasa_server      | /model/train                                       POST                           train
rasa_server      | /conversations/<conversation_id>/trigger_intent    POST                           trigger_intent
rasa_server      | /model                                             DELETE                         unload_model
rasa_server      | /version                                           GET                            version
rasa_server      | 2020-05-22 04:24:12 INFO     root  - Starting Rasa server on http://localhost:5005
rasa_server      | 2020-05-22 04:24:12 DEBUG    rasa.core.utils  - Using the default number of Sanic workers (1).
rasa_server      | 2020-05-22 04:24:12 INFO     root  - Enabling coroutine debugging. Loop id 94726074988688.
rasa_server      | 2020-05-22 04:24:12 DEBUG    rasa.model  - Extracted model to '/tmp/tmpab95wyly'.
rasa_server      | 2020-05-22 04:24:36 INFO     rasa.nlu.components  - Added 'SpacyNLP' to component cache. Key 'SpacyNLP-en'.
rasa_server      | 2020-05-22 04:24:36 DEBUG    rasa.utils.tensorflow.models  - Loading the model ...
rasa_server      | 2020-05-22 04:24:36.619528: E tensorflow/stream_executor/cuda/cuda_driver.cc:351] failed call to cuInit: UNKNOWN ERROR (303)
rasa_server      | 2020-05-22 04:24:38 DEBUG    rasa.utils.tensorflow.models  - Finished loading the model.
rasa_server      | 2020-05-22 04:24:38 DEBUG    rasa.utils.tensorflow.models  - Building tensorflow prediction graph...
rasa_server      | 2020-05-22 04:24:44 DEBUG    rasa.utils.tensorflow.models  - Finished building tensorflow prediction graph.
rasa_server      | 2020-05-22 04:24:44 DEBUG    rasa.core.tracker_store  - Attempting to connect to database via 'sqlite:///vElementChatbot.db'.
rasa_server      | 2020-05-22 04:24:44 DEBUG    rasa.core.tracker_store  - Connection to SQL database 'vElementChatbot.db' successful.
rasa_server      | 2020-05-22 04:24:44 DEBUG    rasa.core.tracker_store  - Connected to SQLTrackerStore.
rasa_server      | 2020-05-22 04:24:44 DEBUG    rasa.core.lock_store  - Connected to lock store 'InMemoryLockStore'.
rasa_server      | 2020-05-22 04:24:44 DEBUG    rasa.model  - Extracted model to '/tmp/tmpbtqxxbwp'.
rasa_server      | 2020-05-22 04:24:44 DEBUG    pykwalify.compat  - Using yaml library: /opt/venv/lib/python3.7/site-packages/ruamel/yaml/__init__.py
rasa_server      | 2020-05-22 04:24:44 DEBUG    rasa.utils.tensorflow.models  - Loading the model ...
rasa_server      | 2020-05-22 04:24:44 DEBUG    rasa.utils.tensorflow.models  - Finished loading the model.
rasa_server      | 2020-05-22 04:24:44 DEBUG    rasa.utils.tensorflow.models  - Building tensorflow prediction graph...
rasa_server      | 2020-05-22 04:24:46 DEBUG    rasa.utils.tensorflow.models  - Finished building tensorflow prediction graph.
rasa_server      | 2020-05-22 04:24:46 INFO     rasa.core.policies.ensemble  - MappingPolicy not included in policy ensemble. Default intents 'restart and back will not trigger actions 'action_restart' and 'action_back'.
rasa_server      | 2020-05-22 04:24:46 DEBUG    rasa.core.nlg.generator  - Instantiated NLG to 'TemplatedNaturalLanguageGenerator'.
rasa_server      | 2020-05-22 04:24:50 DEBUG    rasa.core.channels.socketio  - User 78aebd46d2e043b987d81262993cc391 connected to socketIO endpoint.
rasa_server      | 2020-05-22 04:24:50 DEBUG    rasa.core.channels.socketio  - User 76cb586c5f954e77b94e6b6ba5fb10b3 connected to socketIO endpoint.
rasa_server      | 2020-05-22 04:24:51 DEBUG    rasa.core.channels.socketio  - User 76cb586c5f954e77b94e6b6ba5fb10b3 connected to socketIO endpoint.
rasa_server      | 2020-05-22 04:24:55 DEBUG    rasa.core.tracker_store  - Recreating tracker from sender id '2951e148ede342719e99f67f3ba69a01'
rasa_server      | 2020-05-22 04:24:55 DEBUG    rasa.core.processor  - The latest session for conversation ID '2951e148ede342719e99f67f3ba69a01' has expired.
rasa_server      | 2020-05-22 04:24:55 DEBUG    rasa.core.processor  - Starting a new session for conversation ID '2951e148ede342719e99f67f3ba69a01'.
rasa_server      | 2020-05-22 04:24:55 DEBUG    rasa.core.processor  - Action 'action_session_start' ended with events '[<rasa.core.events.SessionStarted object at 0x7f658799a6d0>, <rasa.core.events.ActionExecuted object at 0x7f657c3141d0>]'.
rasa_server      | 2020-05-22 04:24:55 DEBUG    rasa.core.processor  - Received user message 'partners' with intent '{'name': 'partners', 'confidence': 0.9998556971549988}' and entities '[]'
rasa_server      | 2020-05-22 04:24:55 DEBUG    rasa.core.processor  - Logged UserUtterance - tracker now has 18 events.
rasa_server      | 2020-05-22 04:24:55 DEBUG    rasa.core.policies.memoization  - Current tracker state [None, None, None, {}, {'intent_partners': 1.0, 'prev_action_listen': 1.0}]
rasa_server      | 2020-05-22 04:24:55 DEBUG    rasa.core.policies.memoization  - There is a memorised next action 'action_partner'
rasa_server      | 2020-05-22 04:24:55 DEBUG    rasa.core.policies.ensemble  - Predicted next action using policy_0_MemoizationPolicy
rasa_server      | 2020-05-22 04:24:55 DEBUG    rasa.core.processor  - Predicted next action 'action_partner' with confidence 1.00.
rasa_server      | 2020-05-22 04:24:55 DEBUG    rasa.core.actions.action  - Calling action endpoint to run action 'action_partner'.
rasa_server      | 2020-05-22 04:24:55 ERROR    rasa.core.actions.action  - Failed to run custom action 'action_partner'. Couldn't connect to the server at 'http://localhost:5055/webhook'. Is the server running? Error: Cannot connect to host localhost:5055 ssl:default [Cannot assign requested address]
rasa_server      | 2020-05-22 04:24:55 ERROR    rasa.core.processor  - Encountered an exception while running action 'action_partner'. Bot will continue, but the actions events are lost. Please check the logs of your action server for more information.
rasa_server      | 2020-05-22 04:24:55 DEBUG    rasa.core.processor  - Failed to execute custom action.
rasa_server      | Traceback (most recent call last):
rasa_server      |   File "/opt/venv/lib/python3.7/site-packages/aiohttp/connector.py", line 936, in _wrap_create_connection
rasa_server      |     return await self._loop.create_connection(*args, **kwargs)  # type: ignore  # noqa
rasa_server      |   File "uvloop/loop.pyx", line 1974, in create_connection
rasa_server      |   File "uvloop/loop.pyx", line 1950, in uvloop.loop.Loop.create_connection
rasa_server      |   File "uvloop/handles/tcp.pyx", line 180, in uvloop.loop.TCPTransport.connect
rasa_server      |   File "uvloop/handles/tcp.pyx", line 202, in uvloop.loop._TCPConnectRequest.connect
rasa_server      | OSError: [Errno 99] Cannot assign requested address
rasa_server      |
rasa_server      | The above exception was the direct cause of the following exception:
rasa_server      |
rasa_server      | Traceback (most recent call last):
rasa_server      |   File "/opt/venv/lib/python3.7/site-packages/rasa/core/actions/action.py", line 549, in run
rasa_server      |     json=json_body, method="post", timeout=DEFAULT_REQUEST_TIMEOUT
rasa_server      |   File "/opt/venv/lib/python3.7/site-packages/rasa/utils/endpoints.py", line 146, in request
rasa_server      |     **kwargs,
rasa_server      |   File "/opt/venv/lib/python3.7/site-packages/aiohttp/client.py", line 1012, in __aenter__
rasa_server      |     self._resp = await self._coro
rasa_server      |   File "/opt/venv/lib/python3.7/site-packages/aiohttp/client.py", line 483, in _request
rasa_server      |     timeout=real_timeout
rasa_server      |   File "/opt/venv/lib/python3.7/site-packages/aiohttp/connector.py", line 523, in connect
rasa_server      |     proto = await self._create_connection(req, traces, timeout)
rasa_server      |   File "/opt/venv/lib/python3.7/site-packages/aiohttp/connector.py", line 859, in _create_connection
rasa_server      |     req, traces, timeout)
rasa_server      |   File "/opt/venv/lib/python3.7/site-packages/aiohttp/connector.py", line 1004, in _create_direct_connection
rasa_server      |     raise last_exc
rasa_server      |   File "/opt/venv/lib/python3.7/site-packages/aiohttp/connector.py", line 986, in _create_direct_connection
rasa_server      |     req=req, client_error=client_error)
rasa_server      |   File "/opt/venv/lib/python3.7/site-packages/aiohttp/connector.py", line 943, in _wrap_create_connection
rasa_server      |     raise client_error(req.connection_key, exc) from exc
rasa_server      | aiohttp.client_exceptions.ClientConnectorError: Cannot connect to host localhost:5055 ssl:default [Cannot assign requested address]
rasa_server      |
rasa_server      | During handling of the above exception, another exception occurred:
rasa_server      |
rasa_server      | Traceback (most recent call last):
rasa_server      |   File "/opt/venv/lib/python3.7/site-packages/rasa/core/processor.py", line 644, in _run_action
rasa_server      |     events = await action.run(output_channel, nlg, tracker, self.domain)
rasa_server      |   File "/opt/venv/lib/python3.7/site-packages/rasa/core/actions/action.py", line 580, in run
rasa_server      |     raise Exception("Failed to execute custom action.")
rasa_server      | Exception: Failed to execute custom action.
rasa_server      | 2020-05-22 04:24:55 DEBUG    rasa.core.processor  - Action 'action_partner' ended with events '[]'.
rasa_server      | 2020-05-22 04:24:55 DEBUG    rasa.core.policies.memoization  - Current tracker state [None, None, {}, {'intent_partners': 1.0, 'prev_action_listen': 1.0}, {'prev_action_partner': 1.0, 'intent_partners': 1.0}]
rasa_server      | 2020-05-22 04:24:55 DEBUG    rasa.core.policies.memoization  - There is a memorised next action 'action_listen'
rasa_server      | 2020-05-22 04:24:55 DEBUG    rasa.core.policies.ensemble  - Predicted next action using policy_0_MemoizationPolicy
rasa_server      | 2020-05-22 04:24:55 DEBUG    rasa.core.processor  - Predicted next action 'action_listen' with confidence 1.00.
rasa_server      | 2020-05-22 04:24:55 DEBUG    rasa.core.processor  - Action 'action_listen' ended with events '[]'.
rasa_server      | 2020-05-22 04:24:56 DEBUG    rasa.core.tracker_store  - Tracker with sender_id '2951e148ede342719e99f67f3ba69a01' stored to database
rasa_server      | 2020-05-22 04:24:56 DEBUG    rasa.core.lock_store  - Deleted lock for conversation '2951e148ede342719e99f67f3ba69a
kevinthenet commented 4 years ago

Ah I see; you need to change your endpoints.yml to match the action server name. Your rasa container is looking for the action server in http://localhost:5055/webhook. You'll want to change your config's action_endpoint to match the container name, so http://action_server:5055/webhook. You'll also want to make sure to network the containers together, just as the example docker-compose.yml does.

ShwethaMGitHub commented 4 years ago

backend actions

Unable to run rasa server from Dockerfile

Issue: : After executing docker-compose up --build -d my rasa server and action server logs are just showing that it is "starting" but they are not up and running. I have attached the folder screenshot of "Actions" and "Backend". I have followed the same folder structure as mentioned in the issue #5869 .

Now my docker-compose build output is as below.

Creating network "backend2_rasa-network" with the default driver Building rasa Step 1/10 : FROM rasa/rasa:1.10.0-full ---> 540ad250374c Step 2/10 : USER root ---> Running in e830ce429a69 Removing intermediate container e830ce429a69 ---> 422974b92415 Step 3/10 : WORKDIR /app ---> Running in cc70f451e8a5 Removing intermediate container cc70f451e8a5 ---> 26842bd42af3 Step 4/10 : COPY . /app ---> cf1ff3c74949 Step 5/10 : COPY ./data /app/data ---> 3c52544e9e6e Step 6/10 : RUN rasa train -c ./config.yml -d ./domain.yml --data ./data --debug ---> Running in 626120a02a6a 2020-08-01 13:21:53 DEBUG rasa.nlu.training_data.loading - Training data format of './data/nlu.md' is 'md'. 2020-08-01 13:21:53 DEBUG rasa.nlu.training_data.loading - Training data format of './data/stories.md' is 'unk'. 2020-08-01 13:21:53 DEBUG pykwalify.compat - Using yaml library: /opt/venv/lib/python3.7/site-packages/ruamel/yaml/init.py 2020-08-01 13:21:53 DEBUG rasa.nlu.training_data.loading - Training data format of './data/nlu.md' is 'md'. 2020-08-01 13:21:53 DEBUG rasa.nlu.training_data.loading - Training data format of './data/nlu.md' is 'md'. 2020-08-01 13:21:55 DEBUG rasa.core.nlg.generator - Instantiated NLG to 'TemplatedNaturalLanguageGenerator'. 2020-08-01 13:21:55 DEBUG rasa.core.training.generator - Generated trackers will be deduplicated based on their unique last 5 states. 2020-08-01 13:21:55 DEBUG rasa.core.training.generator - Number of augmentation rounds is 3 2020-08-01 13:21:55 DEBUG rasa.core.training.generator - Starting data generation round 0 ... (with 1 trackers) Processed Story Blocks: 100%|██████████| 10/10 [00:00<00:00, 2020.96it/s, # trackers=1] 2020-08-01 13:21:55 DEBUG rasa.core.training.generator - Finished phase (10 training samples found). 2020-08-01 13:21:55 DEBUG rasa.core.training.generator - Data generation rounds finished. 2020-08-01 13:21:55 DEBUG rasa.core.training.generator - Found 0 unused checkpoints 2020-08-01 13:21:55 DEBUG rasa.core.training.generator - Starting augmentation round 0 ... (with 10 trackers) Processed Story Blocks: 100%|██████████| 10/10 [00:00<00:00, 462.07it/s, # trackers=10] 2020-08-01 13:21:55 DEBUG rasa.core.training.generator - Finished phase (110 training samples found). 2020-08-01 13:21:55 DEBUG rasa.core.training.generator - Starting augmentation round 1 ... (with 50 trackers) Processed Story Blocks: 100%|██████████| 10/10 [00:00<00:00, 107.02it/s, # trackers=50] 2020-08-01 13:21:55 DEBUG rasa.core.training.generator - Finished phase (560 training samples found). 2020-08-01 13:21:55 DEBUG rasa.core.training.generator - Starting augmentation round 2 ... (with 50 trackers) Processed Story Blocks: 100%|██████████| 10/10 [00:00<00:00, 95.27it/s, # trackers=50] 2020-08-01 13:21:55 DEBUG rasa.core.training.generator - Finished phase (990 training samples found). 2020-08-01 13:21:55 DEBUG rasa.core.training.generator - Found 990 training trackers. 2020-08-01 13:21:55 DEBUG rasa.core.training.generator - Subsampled to 500 augmented training trackers. 2020-08-01 13:21:55 DEBUG rasa.core.training.generator - There are 10 original trackers. 2020-08-01 13:21:55 DEBUG rasa.core.agent - Agent trainer got kwargs: {} 2020-08-01 13:21:55 DEBUG rasa.core.featurizers - Creating states and action examples from collected trackers (by MaxHistoryTrackerFeaturizer(NoneType))... Processed trackers: 100%|██████████| 10/10 [00:00<00:00, 775.82it/s, # actions=21] 2020-08-01 13:21:55 DEBUG rasa.core.featurizers - Created 21 action examples. Processed actions: 21it [00:00, 3649.49it/s, # examples=21] 2020-08-01 13:21:55 DEBUG rasa.core.policies.memoization - Memorized 21 unique examples. 2020-08-01 13:21:55 DEBUG rasa.core.featurizers - Creating states and action examples from collected trackers (by MaxHistoryTrackerFeaturizer(LabelTokenizerSingleStateFeaturizer))... Processed trackers: 100%|██████████| 510/510 [00:00<00:00, 613.84it/s, # actions=995] 2020-08-01 13:21:56 DEBUG rasa.core.featurizers - Created 995 action examples. 2020-08-01 13:21:56.271640: E tensorflow/stream_executor/cuda/cuda_driver.cc:351] failed call to cuInit: UNKNOWN ERROR (303) 2020-08-01 13:21:56 DEBUG rasa.utils.tensorflow.models - Building tensorflow train graph... 2020-08-01 13:22:06 DEBUG rasa.utils.tensorflow.models - Finished building tensorflow train graph. Epochs: 100%|██████████| 100/100 [01:28<00:00, 1.13it/s, t_loss=0.081, loss=0.005, acc=1.000] 2020-08-01 13:23:35 INFO rasa.utils.tensorflow.models - Finished training. 2020-08-01 13:23:36 INFO rasa.core.agent - Persisted model to '/tmp/tmpcig525ib/core' 2020-08-01 13:23:36 DEBUG rasa.nlu.training_data.loading - Training data format of './data/nlu.md' is 'md'. 2020-08-01 13:23:36 INFO rasa.nlu.training_data.training_data - Training data stats: 2020-08-01 13:23:36 INFO rasa.nlu.training_data.training_data - Number of intent examples: 43 (7 distinct intents) 2020-08-01 13:23:36 INFO rasa.nlu.training_data.training_data - Found intents: 'mood_unhappy', 'goodbye', 'bot_challenge', 'mood_great', 'greet', 'affirm', 'deny' 2020-08-01 13:23:36 INFO rasa.nlu.training_data.training_data - Number of response examples: 0 (0 distinct responses) 2020-08-01 13:23:36 INFO rasa.nlu.training_data.training_data - Number of entity examples: 0 (0 distinct entities) 2020-08-01 13:23:36 DEBUG rasa.nlu.training_data.training_data - Validating training data... 2020-08-01 13:23:36 INFO rasa.nlu.model - Starting to train component WhitespaceTokenizer 2020-08-01 13:23:36 INFO rasa.nlu.model - Finished training component. 2020-08-01 13:23:36 INFO rasa.nlu.model - Starting to train component RegexFeaturizer 2020-08-01 13:23:36 INFO rasa.nlu.model - Finished training component. 2020-08-01 13:23:36 INFO rasa.nlu.model - Starting to train component LexicalSyntacticFeaturizer 2020-08-01 13:23:36 INFO rasa.nlu.model - Finished training component. 2020-08-01 13:23:36 INFO rasa.nlu.model - Starting to train component CountVectorsFeaturizer 2020-08-01 13:23:36 DEBUG rasa.nlu.featurizers.sparse_featurizer.count_vectors_featurizer - No text provided for response attribute in any messages of training data. Skipping training a CountVectorizer for it. 2020-08-01 13:23:36 INFO rasa.nlu.model - Finished training component. 2020-08-01 13:23:36 INFO rasa.nlu.model - Starting to train component CountVectorsFeaturizer 2020-08-01 13:23:36 DEBUG rasa.nlu.featurizers.sparse_featurizer.count_vectors_featurizer - No text provided for response attribute in any messages of training data. Skipping training a CountVectorizer for it. 2020-08-01 13:23:36 INFO rasa.nlu.model - Finished training component. 2020-08-01 13:23:36 INFO rasa.nlu.model - Starting to train component DIETClassifier /opt/venv/lib/python3.7/site-packages/rasa/utils/common.py:351: UserWarning: You specified 'DIET' to train entities, but no entities are present in the training data. Skip training of entities. 2020-08-01 13:23:36 DEBUG rasa.utils.tensorflow.models - Building tensorflow train graph... 2020-08-01 13:23:45 DEBUG rasa.utils.tensorflow.models - Finished building tensorflow train graph. Epochs: 100%|██████████| 100/100 [00:15<00:00, 6.27it/s, t_loss=1.455, i_loss=0.066, i_acc=1.000] 2020-08-01 13:24:01 INFO rasa.utils.tensorflow.models - Finished training. 2020-08-01 13:24:01 INFO rasa.nlu.model - Finished training component. 2020-08-01 13:24:01 INFO rasa.nlu.model - Starting to train component EntitySynonymMapper 2020-08-01 13:24:01 INFO rasa.nlu.model - Finished training component. 2020-08-01 13:24:01 INFO rasa.nlu.model - Starting to train component ResponseSelector 2020-08-01 13:24:01 INFO rasa.nlu.selectors.response_selector - Retrieval intent parameter was left to its default value. This response selector will be trained on training examples combining all retrieval intents. 2020-08-01 13:24:01 DEBUG rasa.nlu.classifiers.diet_classifier - Cannot train 'ResponseSelector'. No data was provided. Skipping training of the classifier. 2020-08-01 13:24:01 INFO rasa.nlu.model - Finished training component. 2020-08-01 13:24:02 INFO rasa.nlu.model - Successfully saved model into '/tmp/tmpcig525ib/nlu' Training Core model... Core model training completed. Training NLU model... NLU model training completed. Your Rasa model is trained and saved at '/app/models/20200801-132402.tar.gz'. Removing intermediate container 626120a02a6a ---> 72e67a294f8d Step 7/10 : VOLUME /app ---> Running in 211ede077b6f Removing intermediate container 211ede077b6f ---> 694574dbe7d3 Step 8/10 : VOLUME /app/data ---> Running in a4ae0873ccb2 Removing intermediate container a4ae0873ccb2 ---> 60a54ac4ef0e Step 9/10 : VOLUME /app/models ---> Running in a033d61cd329 Removing intermediate container a033d61cd329 ---> 9786b4e0c7aa Step 10/10 : CMD ["run", "--cors" ,"*", "-m" ,"/app/models" ,"--enable-api","--endpoints" ,"endpoints.yml" ,"--debug"] ---> Running in 2cf4560d60ae Removing intermediate container 2cf4560d60ae ---> 2e068c09cae3 Successfully built 2e068c09cae3 Successfully tagged backend2_rasa:latest Building action_server Step 1/6 : FROM rasa/rasa-sdk:1.10.0 ---> 5114b1f9a8af Step 2/6 : WORKDIR /app ---> Using cache ---> c0c5fcb29ea4 Step 3/6 : USER root ---> Using cache ---> dc00e63cd64a Step 4/6 : RUN python -m pip install --upgrade pip --index-url=http://infynexus.ad.infosys.com/nexus/repository/Python_Proxy/simple --trusted-host=infynexus.ad.infosys.com ---> Using cache ---> 112729490a47 Step 5/6 : COPY . /app/actions ---> Using cache ---> 903f5b3d0a0f Step 6/6 : VOLUME /app ---> Using cache ---> 31d8d88be331 Successfully built 31d8d88be331 Successfully tagged backend2_action_server:latest Creating rasa_server ... done Creating backend2_duckling_1 ... done Creating action_server ... done

Can someone please help me what am I missing?

@ortsaCniveK @degiz

degiz commented 4 years ago

Hey @sushilr007 @ShwethaMGitHub

Sorry for the late response. Do you still experience the problem?

sushilr007 commented 4 years ago

@degiz It's working now. thanks!

sushilr007 commented 4 years ago

@ShwethaMGitHub do you still have an issue?

sumit2498 commented 3 years ago

@sushilr007 Is it working for you i am struggling for building docker image please help i need action server to run+ rasa server

sumit2498 commented 3 years ago

@degiz It's working now. thanks!

hi all will you help me?

sumit2498 commented 3 years ago

@sushilr007 i also need help on how did you connected to the UI?

sushilr007 commented 3 years ago

@sushilr007 Is it working for you i am struggling for building docker image please help i need action server to run+ rasa server

This is my docker but I am not using action server.

FROM rasa/rasa:1.9.7 USER root

ENTRYPOINT [] ADD . /app/

RUN python -m pip install --no-cache --upgrade pip

RUN ls /app RUN chmod +x /app/server.sh CMD /app/server.sh

sushilr007 commented 3 years ago

@sushilr007 i also need help on how did you connected to the UI?

For UI I have used botfront/webchat. there you will get whole documentation.

sumit2498 commented 3 years ago

ok so you have only kept the rasa server running on cloud and then connected to the UI witht the URL

sumit2498 commented 3 years ago

@sushilr007 and what about our data does it trains the data what we have (in nlu ,stories , domain) or is it the same data as we have when we do rasa init i mean to say default data and custom data Thanks for helping 👍

InnoOmnia commented 3 years ago

I try to run botfront webchat but can not get it working. I copied same folder structure as above . I'm running it in Virtualbox Ubuntu 18:04 environment

docker-compose.yml

version: '3'
services:
    rasa:
      container_name: "rasa_server"
      networks: ['rasa-network']
      build: 
        context: backend
      command:
        - run
      ports: 
        - "5005:5005"
    action_server:
      container_name: "action_server"
      networks: ['rasa-network']
      build: 
        context: actions
      command:
        - start
      volumes:
        - ./actions:/app/actions
      ports:
        - 5055:5055
networks: {rasa-network: {}}

index.html
I tried here these

socketUrl: "http://rasa_server:5005", socketUrl: "http://localhost:5005", socketUrl: "http://rasa-network:5005",

Nothing worked 

<!doctype html>
<html>
<head>
</head>
<body>

<div id="webchat"></div>
<script src="https://cdn.jsdelivr.net/npm/rasa-webchat/lib/index.min.js"></script>
// you can add a version tag if you need, e.g for version 0.11.5 https://cdn.jsdelivr.net/npm/rasa-webchat@0.11.5/lib/index.min.js
<script>
  WebChat.default.init({
    selector: "#webchat",
    initPayload: "/aloitus",
    customData: {"language": "en"}, // arbitrary custom data. Stay minimal as this will be added to the socket
    socketUrl: "http://rasa_server:5005",
    socketPath: "/socket.io/",
    title: "TalHal bot",
    subtitle: "alaotsikko",
    params: {"storage": "session"} // can be set to "local"  or "session". details in storage section.
  })
</script>

</body>
</html>

endpoints.yml If I uncomment these rasa server starts but exits in few seconds

#action_endpoint:
#url: "http://action_server:5055/webhook"

containers running

linttu@linttu-VirtualBox:~/rasaProd/rasaTalHal$ docker ps -a
CONTAINER ID        IMAGE                      COMMAND                  CREATED             STATUS              PORTS                    NAMES
1dd0cf8ee2e3        rasatalhal_rasa            "rasa run"               52 minutes ago      Up 52 minutes       0.0.0.0:5005->5005/tcp   rasa_server
427254084d41        rasatalhal_action_server   "./entrypoint.sh sta…"   52 minutes ago      Up 52 minutes       0.0.0.0:5055->5055/tcp   action_server

Active servers

linttu@linttu-VirtualBox:~/rasaProd/rasaTalHal$ sudo netstat -plnt
[sudo] password for linttu: 
Active Internet connections (only servers)
Proto Recv-Q Send-Q Local Address           Foreign Address         State       PID/Program name    
tcp        0      0 127.0.0.53:53           0.0.0.0:*               LISTEN      319/systemd-resolve 
tcp        0      0 127.0.0.1:631           0.0.0.0:*               LISTEN      476/cupsd           
tcp6       0      0 ::1:631                 :::*                    LISTEN      476/cupsd           
tcp6       0      0 :::5055                 :::*                    LISTEN      7745/docker-proxy   
tcp6       0      0 :::5005                 :::*                    LISTEN      7853/docker-proxy   
tcp6       0      0 :::80                   :::*                    LISTEN      579/apache2
wochinge commented 3 years ago

If there are further questions please move the discussion to the forum