Merge pull request #127 from lappis-unb/devel

Atualização dos containers

Author: arthurTemporim

Makefile

@@ -6,6 +6,7 @@ clean:
 ############################## BOILERPLATE ############################## 
 first-run:
 	make build
+	make train
 	make run-webchat
 
 build:
@@ -23,46 +24,48 @@ build-coach:
 	docker-compose build --no-cache coach
 
 build-analytics:
-	docker-compose up -d elasticsearch
-	docker-compose up -d rabbitmq
-	docker-compose up -d rabbitmq-consumer
-	docker-compose up -d kibana
+	sudo docker-compose up -d elasticsearch
+	sudo docker-compose up -d rabbitmq
+	sudo docker-compose up -d rabbitmq-consumer
+	sudo docker-compose up -d kibana
 	# This sleep time is a work arround the main objetive is run the following command when elasticsearch is ready
 	# The following command is needed just once for project. It's just a setup onfiguration script.
 	sleep 30
-	docker-compose run --rm -v $(current_dir)/modules/analytics/setup_elastic.py:/analytics/setup_elastic.py bot python /analytics/setup_elastic.py
-	docker-compose run --rm -v $(current_dir)/modules/analytics/:/analytics/ bot python /analytics/import_dashboards.py
+	sudo docker-compose run --rm -v $(current_dir)/modules/analytics/setup_elastic.py:/analytics/setup_elastic.py bot python /analytics/setup_elastic.py
+	sudo docker-compose run --rm -v $(current_dir)/modules/analytics/:/analytics/ bot python /analytics/import_dashboards.py
 	echo "Não se esqueça de atualizar o arquivo endpoints.yml"
 	sensible-browser --no-sandbox http://localhost:5601
 
 run-analytics:
-	docker-compose up -d rabbitmq
-	docker-compose up -d rabbitmq-consumer
-	docker-compose up -d elasticsearch
-	docker-compose up -d kibana
+	sudo docker-compose up -d rabbitmq
+	sudo docker-compose up -d rabbitmq-consumer
+	sudo docker-compose up -d elasticsearch
+	sudo docker-compose up -d kibana
 	sensible-browser --no-sandbox http://localhost:5601
 
 run-shell:
-	docker-compose run --rm --service-ports bot make shell
+	sudo docker-compose run --rm --service-ports bot make shell
 
 run-webchat:
-	docker-compose run -d --rm --service-ports bot-webchat
-	sensible-browser --no-sandbox modules/webchat/index.html
+	sudo docker-compose run -d --rm --service-ports bot-webchat
+	sensible-browser modules/webchat/index.html
 
 run-telegram:
-	docker-compose run -d --rm --service-ports bot_telegram make telegram
+	sudo docker-compose run -d --rm --service-ports bot_telegram make telegram
 
 run-notebooks:
-	docker-compose up -d notebooks
+	sudo docker-compose up -d notebooks
 	sensible-browser --no-sandbox http://localhost:8888
 
 train:
-	docker-compose build coach
-	docker-compose build bot
+	mkdir -p bot/models
+	sudo chmod -R +777 bot/models
+	docker-compose up coach
+	sudo chmod -R +777 bot/models
 
 validate:
-	docker-compose run --rm coach rasa data validate --domain domain.yml --data data/ -vv
+	sudo docker-compose run --rm coach rasa data validate --domain domain.yml --data data/ -vv
 
 visualize:
-	docker-compose run --rm  -v $(current_dir)/bot:/coach coach rasa visualize --domain domain.yml --stories data/stories.md --config config.yml --nlu data/nlu.md --out ./graph.html -vv
+	sudo docker-compose run --rm  -v $(current_dir)/bot:/coach coach rasa visualize --domain domain.yml --stories data/stories.md --config config.yml --nlu data/nlu.md --out ./graph.html -vv
 	sensible-browser --no-sandbox bot/graph.html

README.md

@@ -11,7 +11,7 @@
 Para ter seu chatbot Rasa no ar e funcionando rápidamente no `shell` execute o seguinte comando:
 
 ```sh
-sudo make first-run
+make first-run
 ```
 
 Este comando irá construir o seu chatbot (containers necessários) e abrir a conversação em um `livechat`
@@ -51,13 +51,13 @@ criar um repositório para as imagens e substitua os nomes das imagens "lappis/b
 **Atenção**: o comando de treinamento é usado para criar os modelos necessários na conversação do bot para treinar o seu chatbot execute o comando:
 
 ```sh
-sudo make train
+make train
 ```
 
 ### Console
 
 ```sh
-sudo make run-console
+make run-console
 ```
 
 ### Telegram
@@ -78,13 +78,13 @@ telegram:
 Se ainda não tiver treinado seu bot execute antes:
 
 ```sh
-sudo make train
+make train
 ```
 
 Depois execute o bot no telegram:
 
 ```sh
-sudo make run-telegram
+make run-telegram
 ```
 
 ### Analytics
@@ -96,15 +96,15 @@ Para a visualização dos dados da interação entre o usuário e o chatbot nós
 * Para uma **configuração rápida** execute o seguinte comando:
 
 ```sh
-sudo make build-analytics
+make build-analytics
 ```
 
 O comando acima só precisa ser executado apenas 1 vez e já vai deixar toda a infra de `analytics` pronta para o uso.
 
 Nas próximas vezes que desejar utilizar o `analytics` execute o comando:
 
 ```sh
-sudo make run-analytics
+make run-analytics
 ```
 
 Por fim acesse o **kibana** no `locahost:5601`
@@ -206,7 +206,7 @@ Você pode acessar o kibana no `locahost:5601`
 Levante o container `notebooks`
 
 ```sh
-sudo make run-notebooks
+make run-notebooks
 ```
 
 Acesse o notebook em `localhost:8888`

docker-compose.yml

@@ -4,23 +4,23 @@ services:
   # =============================== Coach =================================
   # All the models are trained by this coach.
   coach:
-    image: lappis/coach:boilerplate
     build:
       context: .
       dockerfile: ./docker/coach.Dockerfile
     volumes:
       - ./bot/models/:/bot/models/
-    command: sh -c "make train"
+    command: "make train"
 
 
   # ================================= Bot =====================================
   # Generic Rasa bot, used to run console for example.
   bot:
-    image: lappis/bot:boilerplate
     build:
       context: .
       dockerfile: ./docker/bot.Dockerfile
     restart: unless-stopped
+    volumes:
+      - ./bot/:/bot/
     ports:
       - 5004:5004
     depends_on:
@@ -44,6 +44,8 @@ services:
       build:
         context: .
         dockerfile: ./docker/bot.Dockerfile
+      volumes:
+        - ./bot/:/bot/
       ports:
         - 5005:5005
       depends_on:
@@ -112,14 +114,14 @@ services:
       build:
         context: .
         dockerfile: ./docker/bot.Dockerfile
+      volumes:
+        - ./bot/:/bot/
       env_file:
         - env/bot-telegram.env
       ports:
         - 5001:5001
       depends_on:
         - actions
-      volumes:
-        - ./bot:/bot
       command: sh -c "make telegram"
 
   # =============================== Notebooks =================================

docker/bot.Dockerfile

@@ -1,9 +1,7 @@
-FROM lappis/coach:boilerplate as coach
 FROM botrequirements
 
 WORKDIR /bot
 COPY ./bot /bot
-COPY --from=coach /bot/models /bot/models
 COPY ./modules /modules
 
 RUN find . | grep -E "(__pycache__|\.pyc|\.pyo$)" | xargs rm -rf

docker/coach.Dockerfile

@@ -3,5 +3,3 @@ FROM botrequirements
 WORKDIR /bot
 
 COPY ./bot/ /bot/
-
-RUN make train

requirements.txt

@@ -1,4 +1,4 @@
-rasa==1.4.2
+rasa==1.6.2
 nltk==3.4.5
 elasticsearch==7.0.4
 flake8==3.7.8