Publish comments from NukeStudio.

pype/plugins/ftrack/publish/integrate_ftrack_comments.py

@@ -0,0 +1,24 @@
+import pyblish.api
+
+
+class IntegrateFtrackComments(pyblish.api.InstancePlugin):
+    """Create comments in Ftrack."""
+
+    order = pyblish.api.IntegratorOrder
+    label = "Integrate Comments to Ftrack."
+    families = ["shot"]
+
+    def process(self, instance):
+        session = instance.context.data["ftrackSession"]
+
+        entity = session.query(
+            "Shot where name is \"{}\"".format(instance.data["item"].name())
+        ).one()
+
+        notes = []
+        for comment in instance.data["comments"]:
+            notes.append(session.create("Note", {"content": comment}))
+
+        entity["notes"].extend(notes)
+
+        session.commit()

pype/plugins/nukestudio/publish/collect_shots.py

@@ -30,6 +30,24 @@ class CollectShots(api.ContextPlugin):
             for key, value in instance.data.iteritems():
                 data[key] = value
 
+            # Collect comments.
+            data["comments"] = []
+
+            # Exclude non-tagged instances.
+            for tag in instance.data["tags"]:
+                if tag["name"].lower() == "comment":
+                    data["comments"].append(
+                        tag.metadata().dict()["tag.note"]
+                    )
+
+            # Find tags on the source clip.
+            tags = instance.data["item"].source().tags()
+            for tag in tags:
+                if tag.name().lower() == "comment":
+                    data["comments"].append(
+                        tag.metadata().dict()["tag.note"]
+                    )
+
             data["family"] = "shot"
             data["families"] = []
 
@@ -37,8 +55,14 @@ class CollectShots(api.ContextPlugin):
 
             data["name"] = data["subset"] + "_" + data["asset"]
 
-            data["label"] = data["asset"] + " - " + data["subset"] + " - tasks: {} - assetbuilds: {}".format(
-                data["tasks"], [x["name"] for x in data.get("assetbuilds", [])]
+            data["label"] = (
+                "{} - {} - tasks:{} - assetbuilds:{} - comments:{}".format(
+                    data["asset"],
+                    data["subset"],
+                    data["tasks"],
+                    [x["name"] for x in data.get("assetbuilds", [])],
+                    len(data["comments"])
+                )
             )
 
             # Create instance.