feat: devex/hatchet log progress track (#813)

* progress track for some hatchet tasks

* remove inline imports / type fixes

* progress callback for mixdown - move to a function

---------

Co-authored-by: Igor Loskutov <igor.loskutoff@gmail.com>

server/reflector/processors/summary/models.py

@@ -0,0 +1,50 @@
+"""Pydantic models for summary processing."""
+
+from pydantic import BaseModel, Field
+
+
+class ActionItem(BaseModel):
+    """A single action item from the meeting"""
+
+    task: str = Field(description="The task or action item to be completed")
+    assigned_to: str | None = Field(
+        default=None, description="Person or team assigned to this task (name)"
+    )
+    assigned_to_participant_id: str | None = Field(
+        default=None, description="Participant ID if assigned_to matches a participant"
+    )
+    deadline: str | None = Field(
+        default=None, description="Deadline or timeframe mentioned for this task"
+    )
+    context: str | None = Field(
+        default=None, description="Additional context or notes about this task"
+    )
+
+
+class Decision(BaseModel):
+    """A decision made during the meeting"""
+
+    decision: str = Field(description="What was decided")
+    rationale: str | None = Field(
+        default=None,
+        description="Reasoning or key factors that influenced this decision",
+    )
+    decided_by: str | None = Field(
+        default=None, description="Person or group who made the decision (name)"
+    )
+    decided_by_participant_id: str | None = Field(
+        default=None, description="Participant ID if decided_by matches a participant"
+    )
+
+
+class ActionItemsResponse(BaseModel):
+    """Pydantic model for identified action items"""
+
+    decisions: list[Decision] = Field(
+        default_factory=list,
+        description="List of decisions made during the meeting",
+    )
+    next_steps: list[ActionItem] = Field(
+        default_factory=list,
+        description="List of action items and next steps to be taken",
+    )

server/reflector/processors/summary/summary_builder.py

@@ -15,6 +15,7 @@ import structlog
 from pydantic import BaseModel, Field
 
 from reflector.llm import LLM
+from reflector.processors.summary.models import ActionItemsResponse
 from reflector.processors.summary.prompts import (
     DETAILED_SUBJECT_PROMPT_TEMPLATE,
     PARAGRAPH_SUMMARY_PROMPT,
@@ -148,53 +149,6 @@ class SubjectsResponse(BaseModel):
     )
 
 
-class ActionItem(BaseModel):
-    """A single action item from the meeting"""
-
-    task: str = Field(description="The task or action item to be completed")
-    assigned_to: str | None = Field(
-        default=None, description="Person or team assigned to this task (name)"
-    )
-    assigned_to_participant_id: str | None = Field(
-        default=None, description="Participant ID if assigned_to matches a participant"
-    )
-    deadline: str | None = Field(
-        default=None, description="Deadline or timeframe mentioned for this task"
-    )
-    context: str | None = Field(
-        default=None, description="Additional context or notes about this task"
-    )
-
-
-class Decision(BaseModel):
-    """A decision made during the meeting"""
-
-    decision: str = Field(description="What was decided")
-    rationale: str | None = Field(
-        default=None,
-        description="Reasoning or key factors that influenced this decision",
-    )
-    decided_by: str | None = Field(
-        default=None, description="Person or group who made the decision (name)"
-    )
-    decided_by_participant_id: str | None = Field(
-        default=None, description="Participant ID if decided_by matches a participant"
-    )
-
-
-class ActionItemsResponse(BaseModel):
-    """Pydantic model for identified action items"""
-
-    decisions: list[Decision] = Field(
-        default_factory=list,
-        description="List of decisions made during the meeting",
-    )
-    next_steps: list[ActionItem] = Field(
-        default_factory=list,
-        description="List of action items and next steps to be taken",
-    )
-
-
 class SummaryBuilder:
     def __init__(self, llm: LLM, filename: str | None = None, logger=None) -> None:
         self.transcript: str | None = None