updated docs on yaml generation

docs/argo_fomatting_rules.md

@@ -1,6 +1,5 @@
 This document aims at centralizing all the informations about the yaml file that will be submitted to argo
 
 - names can only contain alphanumeric characters or '-' 
-
+- Lists can either be flow `[value1, value2,...]` or 
-
 

docs/todo.md

@@ -3,3 +3,5 @@
         - argo_builder.getComputingCommands() takes the command as a parameter to treat `sh -c`'s argument differently, but this is not generic enough
     - refactor on oc-catalog : we could store it as a string and parse it differently depending on the command
 
+[ ] Are dependencies handled well :
+    - Branch/dependencies seem to be generated inconsistently, producing different branches with the same graph

docs/uml/generate_argo_struct.puml

@@ -25,34 +25,59 @@ note top  :  a node is a component in a link object,\n represented by its ID
 
 argo -> argo
 note bottom : We want to prepare the list of branches by removing\n nodes that appears several times\ne.g : two branches :\n1 - 2 2 - 3 3 - 4\n1 - 2 2 - 3 3 - 5\nWe will iterate over each branch to create the component's YAML\n and don't want to create components 1 2 et 3 twice or more
-loop branch in branches
+
-    group if Source first link is not in list node written
+loop computing in graph.computings
-        loop while link Source is shared 
+    argo -> argo        :   create new container object
-            argo -> argo    :   create an object representing the component 
+    argo -> argoGraph   :   retrieve image name
-            argo -> argo    :   add component to list of created nodes      
+    argo -> argoGraph   :   add command from the computing component
-            end
+    argo -> argoGraph   :   add arguments from the computing component
+    
+    argo -> argoGraph   :   retrieve environment variables' name from the computing component
+    argo -> argo        :   create a new list of Parameter 
+    loop env variable in retrieved env variables
+        argo -> argo    :   add a Parameter object to the list with only the name attribute
         end
+    
+    argo -> argo        :   create a Template object from the name of the component and the Container object
+    argo -> argo        :   add attached volume (currently we share the same mounted volume)
+    argo -> argo        :   append the new Template 
     end
 
+argo -> argo    :   create new Dag object
+
+loop computing in graph.computings
+    argo -> argo        :   create a new Task
+    argo -> argoGraph   :   add a unique name from the component name and ID in the graph
+    argo -> argoGraph   :   add the name of the associated Template
+    argo -> argoGraph   :   add the list of environment variables from the component
+    
     loop branch in branches
+        group if component is in the branch
 
-    loop link in branch 
+            argo -> argo    : add the previous component name to the list of dependencies
-        group if link.Destination not in list of nodes already written
-            argo -> argoGraph   :   get component
-            argoGraph --> argo  :   component
 
-            argo -> argo    :   generate YAML depending on type (attributes)
-            argo -> argo    :   add ID to list of node already written 
             end
         end
     
+    argo -> argo    :   add the task/step to the list of Tasks
+    
     end
 
-loop for each struct created
+argo -> argo    :   add new Template named DAG to the Templates
-    argo -> argo    :   Marshal into yaml
+
-    argo -> argo    :   write the marshalled string to a file 
+loop storage in graph.storages
+    argo -> argo        :   create a new VolumeClaimTemplate object
+    argo -> argoGraph   :   add name from the storage component
+    argo -> argoGraph   :   add access mode from the storage component
+    argo -> argoGraph   :   add storage capacity from the storage component
+    
     end
 
+loop data in graph.data
+    argo -> argo        :
+    end
 
+argo -> argo    :   marshal the Workflow to yaml
+argo -> argo    :   write the marshaled object to a .yml file
 
 @enduml