Merge pull request #457 from Hestia-Homes/main

Debugging api

backend/app/plan/router.py

@@ -3,14 +3,12 @@ import json
 import math
 from datetime import datetime
 
-import pandas as pd
 from fastapi import APIRouter, Depends
 from backend.app.dependencies import validate_token
 from backend.app.plan.schemas import PlanTriggerRequest
 from backend.app.config import get_settings
 from sqlalchemy.orm import sessionmaker
 from utils.logger import setup_logger
-from utils.s3 import read_excel_from_s3
 from backend.app.db.connection import db_engine
 
 from backend.app.db.functions.recommendations_functions import create_scenario
@@ -45,14 +43,8 @@ async def trigger_plan_entrypoint(body: PlanTriggerRequest):
     # If file_format is domna_asset_list and type is xlsx, read and chunk it
     if data.get("file_format") == "domna_asset_list" and data.get("file_type") == "xlsx":
         try:
-            input_data: pd.DataFrame = read_excel_from_s3(
-                bucket_name=settings.PLAN_TRIGGER_BUCKET,
-                file_key=data.get("trigger_file_path"),
-                sheet_name=data.get("sheet_name"),
-                header_row=0
-            )
 
-            total_rows = len(input_data)
+            total_rows = body.get("sheet_count", 0)
             chunk_size = 30
             total_chunks = math.ceil(total_rows / chunk_size)
 

backend/app/plan/schemas.py

@@ -108,6 +108,7 @@ class PlanTriggerRequest(BaseModel):
     file_type: Optional[Literal["csv", "xlsx"]] = None
     file_format: Optional[Literal["domna_asset_list"]] = None
     sheet_name: Optional[str] = None
+    sheet_count: Optional[int] = None
     # If one of index_start or index_end is set, the other must be set too
     index_start: Optional[int] = None
     index_end: Optional[int] = None

backend/app/requirements/requirements.txt

@@ -8,4 +8,5 @@ cryptography==43.0.3
 mangum==0.19.0
 # AWS
 boto3==1.35.44
-
+# Data
+openpyxl==3.1.2

backend/engine/handler.py

@@ -11,6 +11,7 @@ def handler(event, context):
     """
     Lambda handler that triggers the model engine for each SQS message.
     """
+    logger.info("Received event: %s", json.dumps(event, indent=2))
     for record in event.get("Records", []):
         try:
             body_dict = json.loads(record["body"])