Docker compose is achieved

docker-builds/.gitignore

@@ -1,3 +1,4 @@
 tensorflow-v2.6.4/
 tensorflow-2.7.3/
+rasa-3.2.1/
 Dockerfile

docker-builds/Dockerfile-rasa-3.2.1

@@ -0,0 +1,45 @@
+# The default Docker image
+ARG IMAGE_BASE_NAME
+ARG BASE_IMAGE_HASH
+ARG BASE_BUILDER_IMAGE_HASH
+
+# EDITED: use this build as image
+FROM ${IMAGE_BASE_NAME}:base-builder-${BASE_BUILDER_IMAGE_HASH}
+# copy files
+COPY . /build/
+
+# change working directory
+WORKDIR /build
+
+# install dependencies
+# EDITED: add `poetry env use system` -> to use global python
+# EDITED: add `poetry config virtualenvs.create false` -> to install deps into global package-list instead of virtualenv
+RUN  pip install --no-cache-dir -U "pip==21.*" && \
+  poetry env use system && \
+  poetry config virtualenvs.create false && \
+  poetry install --no-dev --no-root --no-interaction && \
+  poetry build -f wheel -n && \
+  pip install --no-deps dist/*.whl && \
+  rm -rf dist *.egg-info
+
+# set HOME environment variable
+ENV HOME=/app
+
+# update permissions & change user to not run as root
+WORKDIR /app
+RUN rm -rf /build
+
+
+RUN chgrp -R 0 /app && chmod -R g=u /app && chmod o+wr /app
+USER 1001
+
+# create a volume for temporary data
+VOLUME /tmp
+
+# change shell
+SHELL ["/bin/bash", "-o", "pipefail", "-c"]
+
+# the entry point
+EXPOSE 5005
+ENTRYPOINT ["rasa"]
+CMD ["--help"]

docker-builds/Dockerfile-tf-v2.7.3

@@ -130,7 +130,7 @@ RUN pip --no-cache-dir install \
     wheel \
     keras_applications \
     keras_preprocessing \
-    numpy~=1.21.4 \
+    numpy==1.21.4 \
     --no-deps \
     && rm -rf /pip_pkg \
     && rm -rf /tmp/* \

docker-compose.yml

@@ -27,6 +27,7 @@ x-nginx-host-variables: &nginx-host-variables
   RASA_X_HOST: "rasa-x:5002"
   RASA_USER_APP: "action-server:5055"
   RASA_PRODUCTION_HOST: "rasa-production:5005"
+  BOT_FRONTEND_HOST: "botfrontend:5005"
 
 x-rasax-credentials: &rasax-credentials
   RASA_X_HOST: "http://rasa-x:5002"
@@ -152,7 +153,10 @@ services:
   action-server:
     restart: on-failure:5
     image: "sysang/actionserver"
-    build: "./botserver-action"
+    build:
+      context: "./botserver-action"
+      args:
+        RASA_SDK_IMAGE: ${RASA_SDK_IMAGE}        
     volumes:
       - ./botserver-action/:/app/actions/
     expose:
@@ -207,6 +211,8 @@ services:
     depends_on:
       - rasa-x
       - rasa-production
+      - rasa-worker
+      - botfrontend
 
   redis:
     restart: on-failure:5

nginx-config-files/rasax.nginx.template

@@ -7,7 +7,7 @@ upstream docker-rasax-api {
 }
 
 upstream docker-bot-frontend {
-  server http://botfrontend:8000 max_fails=0;
+  server ${BOT_FRONTEND_HOST} max_fails=0;
 }
 
 server {

note.md

@@ -10,8 +10,6 @@ https://forum.rasa.com/t/trigger-intent-from-custom-action/51727/6
 Training data must declare condition (slot information), otherwise training machenisim will impose initinal slot information as condition (very implicit).  
 This makes rules (were not declare condition) mostly uneffective in runtime because the condition mostly would have been changed.
 
-# It seems that action without preceded intent is ingored
-
 # To inspect training dataset
 
 ```python
@@ -41,3 +39,12 @@ for tracker_state, label in zip(tracker_state_features, label_ids):
 `sudo nvim /etc/docker/daemon.json`
 `{"dns": ["192.168.1.1"]}`
 `sudo service docker restart`
+
+# Build rasa:localdev for old processor which does not support new computing instruction set
+## rasa-3.2.1, tensorflow-2.7.3
+- `wget https://github.com/RasaHQ/rasa/archive/refs/tags/3.2.1.tar.gz`
+- `wget https://github.com/tensorflow/tensorflow/archive/refs/tags/v2.7.3.tar.gz`
+- use Dockerfile-tf-v2.7.3 to build image -> sysang/tf-2.7.3-source-build
+- replace base image in rasa-3.2.1/docker/Dockerfile.base by sysang/tf-2.7.3-source-build:latest
+- replace rasa-3.2.1/Dockerfile by Dockerfile-rasa-3.2.1, use Dockerfile-rasa-3.2.1 to build rasa:localdev
+- (replace peotry.lock by peotry-rasa-3.2.1.lock which is resolved by pyproject.toml after exclude tensorflow section and set numpy===1.21.4)