Add enriched classification output and Todoist dedupe sync

This commit is contained in:
Steve W
2026-04-09 18:14:11 +00:00
parent cb4eb43209
commit a1dcaf9a74
8 changed files with 502 additions and 100 deletions

154
app/sync.py Normal file
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from __future__ import annotations
import hashlib
import json
import os
from typing import Any
from app.dedupe_store import DedupeStore
from app.models import ClassificationDetails, ClassificationResult, ClassifyRequest, TodoistSyncResult
from app.todoist import TodoistClient
def build_fingerprint(request: ClassifyRequest) -> str:
subject = request.email_data.subject.strip().lower()
body = " ".join(request.email_data.body.split()).strip().lower()
seed = f"{request.from_address or ''}\n{subject}\n{body}"
return hashlib.sha256(seed.encode()).hexdigest()
def build_classification_hash(result: ClassificationResult) -> str:
payload = result.model_dump(exclude={"todoist"}, exclude_none=True)
return hashlib.sha256(json.dumps(payload, sort_keys=True).encode()).hexdigest()
def render_task_content(result: ClassificationResult) -> str:
details = result.details or ClassificationDetails()
return details.suggested_title or result.task_description or details.summary or "Email follow-up"
def render_task_description(request: ClassifyRequest, result: ClassificationResult) -> str:
details = result.details or ClassificationDetails()
sections: list[str] = []
if details.summary:
sections.append(f"Summary:\n{details.summary}")
if result.task_description:
sections.append(f"Action:\n{result.task_description}")
if details.suggested_notes:
sections.append(f"Notes:\n{details.suggested_notes}")
if details.deadline:
sections.append(f"Deadline:\n{details.deadline}")
if details.people:
sections.append("People:\n- " + "\n- ".join(details.people))
if details.organizations:
sections.append("Organizations:\n- " + "\n- ".join(details.organizations))
if details.attachments_referenced:
sections.append("Attachments referenced:\n- " + "\n- ".join(details.attachments_referenced))
if details.next_steps:
sections.append("Next steps:\n- " + "\n- ".join(details.next_steps))
if details.key_points:
sections.append("Key points:\n- " + "\n- ".join(details.key_points))
metadata = []
if request.message_id:
metadata.append(f"message_id: {request.message_id}")
if request.thread_id:
metadata.append(f"thread_id: {request.thread_id}")
if request.from_address:
metadata.append(f"from: {request.from_address}")
if request.received_at:
metadata.append(f"received_at: {request.received_at}")
if metadata:
sections.append("Source metadata:\n" + "\n".join(metadata))
return "\n\n".join(sections).strip()
async def sync_todoist(request: ClassifyRequest, result: ClassificationResult) -> TodoistSyncResult:
if not result.needs_action:
return TodoistSyncResult(status="skipped", message="No action required.")
client = TodoistClient()
if not client.enabled:
return TodoistSyncResult(status="disabled", message="Todoist is not configured.")
store = DedupeStore(os.getenv("EMAIL_CLASSIFIER_DB_PATH", ".data/email_classifier.db"))
fingerprint = build_fingerprint(request)
existing = store.find_existing(message_id=request.message_id, thread_id=request.thread_id, fingerprint=fingerprint)
dedupe_match = "none"
if existing:
if request.message_id and existing.get("message_id") == request.message_id:
dedupe_match = "message_id"
elif request.thread_id and existing.get("thread_id") == request.thread_id:
dedupe_match = "thread_id"
else:
dedupe_match = "fingerprint"
content = render_task_content(result)
description = render_task_description(request, result)
classification_hash = build_classification_hash(result)
if not existing:
created = await client.create_task(content=content, description=description, due_string=(result.details.deadline if result.details else None))
task_id = str(created.get("id"))
store.upsert(
existing_id=None,
message_id=request.message_id,
thread_id=request.thread_id,
fingerprint=fingerprint,
todoist_task_id=task_id,
classification_hash=classification_hash,
source_payload=request.model_dump(exclude={"api_key"}, exclude_none=True),
last_result=result.model_dump(exclude_none=True),
)
return TodoistSyncResult(status="created", task_id=task_id, dedupe_match=dedupe_match)
task_id = str(existing["todoist_task_id"])
if existing.get("classification_hash") == classification_hash:
store.upsert(
existing_id=existing["id"],
message_id=request.message_id,
thread_id=request.thread_id,
fingerprint=fingerprint,
todoist_task_id=task_id,
classification_hash=classification_hash,
source_payload=request.model_dump(exclude={"api_key"}, exclude_none=True),
last_result=result.model_dump(exclude_none=True),
)
return TodoistSyncResult(status="unchanged", task_id=task_id, dedupe_match=dedupe_match, message="Existing task already reflects this classification.")
await client.update_task(task_id, content=content, description=description, due_string=(result.details.deadline if result.details else None))
comment_added = False
previous_details = (existing.get("last_result") or {}).get("details") or {}
current_details = (result.details.model_dump(exclude_none=True) if result.details else {})
if _material_context_changed(previous_details, current_details):
await client.add_comment(task_id, _build_update_comment(result))
comment_added = True
store.upsert(
existing_id=existing["id"],
message_id=request.message_id,
thread_id=request.thread_id,
fingerprint=fingerprint,
todoist_task_id=task_id,
classification_hash=classification_hash,
source_payload=request.model_dump(exclude={"api_key"}, exclude_none=True),
last_result=result.model_dump(exclude_none=True),
)
return TodoistSyncResult(status="updated", task_id=task_id, comment_added=comment_added, dedupe_match=dedupe_match)
def _material_context_changed(previous: dict[str, Any], current: dict[str, Any]) -> bool:
keys = {"summary", "deadline", "attachments_referenced", "next_steps", "key_points", "people"}
return any(previous.get(k) != current.get(k) for k in keys)
def _build_update_comment(result: ClassificationResult) -> str:
details = result.details or ClassificationDetails()
parts = ["Email classifier update:"]
if details.summary:
parts.append(f"Summary: {details.summary}")
if details.deadline:
parts.append(f"Deadline: {details.deadline}")
if details.next_steps:
parts.append("Next steps: " + "; ".join(details.next_steps))
if details.key_points:
parts.append("Key points: " + "; ".join(details.key_points[:4]))
return "\n".join(parts)