mirror of
https://github.com/Hestia-Homes/Model.git
synced 2026-06-08 11:17:27 +00:00
Merge pull request #962 from Hestia-Homes/feature/ecmk-to-ara
ECMK to Sharepoint, S3 and database
This commit is contained in:
commit
38305e558b
17 changed files with 389 additions and 54 deletions
25
backend/app/db/functions/uploaded_files_functions.py
Normal file
25
backend/app/db/functions/uploaded_files_functions.py
Normal file
|
|
@ -0,0 +1,25 @@
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from typing import Optional
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from sqlalchemy import select
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from backend.app.db.connection import db_read_session
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from backend.app.db.models.uploaded_file import (
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FileSourceEnum,
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FileTypeEnum,
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UploadedFile,
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)
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def get_uploaded_file_by_listing_type_and_source(
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hubspot_listing_id: int,
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file_type: FileTypeEnum,
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file_source: FileSourceEnum,
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) -> Optional[UploadedFile]:
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with db_read_session() as session:
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statement = select(UploadedFile).where(
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UploadedFile.hubspot_listing_id == hubspot_listing_id,
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UploadedFile.file_type == file_type,
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UploadedFile.file_source == file_source,
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)
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return session.exec(statement).one_or_none()
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@ -14,6 +14,8 @@ class FileTypeEnum(enum.Enum):
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PAR_PHOTO_PACK = "par_photo_pack"
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PAS_2023_PROPERTY = "pas_2023_property"
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PAS_2023_OCCUPANCY = "pas_2023_occupancy"
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ECMK_SITE_NOTE = "ecmk_site_note"
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ECMK_RD_SAP_SITE_NOTE = "ecmk_rd_sap_site_note"
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class FileSourceEnum(enum.Enum):
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@ -37,9 +39,21 @@ class UploadedFile(Base):
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hubspot_listing_id = Column(BigInteger, nullable=True)
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file_type = Column(
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SqlEnum(FileTypeEnum, name="file_type", create_type=False), nullable=True
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SqlEnum(
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FileTypeEnum,
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name="file_type",
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create_type=False,
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values_callable=lambda enum_cls: [e.value for e in enum_cls],
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),
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nullable=True,
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)
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file_source = Column(
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SqlEnum(FileSourceEnum, name="file_source", create_type=False), nullable=True
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SqlEnum(
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FileSourceEnum,
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name="file_source",
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create_type=False,
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values_callable=lambda enum_cls: [e.value for e in enum_cls],
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),
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nullable=True,
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)
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|
|
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@ -1,40 +1,59 @@
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from typing import Dict, Optional
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from openpyxl import load_workbook
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import re
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from dataclasses import dataclass
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from typing import Any, Dict, Optional
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from openpyxl import Workbook, load_workbook
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from openpyxl.worksheet.worksheet import Worksheet
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def extract_addresses_from_spreadsheet(filepath: str) -> Dict[str, str]:
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wb = load_workbook(filepath, data_only=True)
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ws = wb["Southern RA-Lite Programme 3103"]
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@dataclass
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class PropertyRow:
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row_index: int
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address: str
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listing_id: str
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properties: Dict[str, str] = {}
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header_row = 1
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id_col_index = None
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deal_name_col_index = None
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def extract_addresses_from_spreadsheet(
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filepath: str,
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) -> Dict[str, PropertyRow]:
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wb: Workbook = load_workbook(filepath, data_only=True)
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ws: Worksheet = wb["Southern RA-Lite Programme 3103"]
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header_row: int = 1
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id_col: Optional[int] = None
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deal_name_col: Optional[int] = None
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listing_id_col: Optional[int] = None
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# find columns
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for col in range(1, ws.max_column + 1):
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value = ws.cell(row=header_row, column=col).value
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raw_value: Any = ws.cell(row=header_row, column=col).value
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value: str = str(raw_value).strip().lower() if raw_value else ""
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if value and str(value).strip().lower() == "id":
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id_col_index = col
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if value == "id":
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id_col = col
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elif value == "deal name":
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deal_name_col = col
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elif value == "associated listing ids":
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listing_id_col = col
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if value and str(value).strip().lower() == "deal name":
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deal_name_col_index = col
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break
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if id_col is None or deal_name_col is None or listing_id_col is None:
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raise Exception("Missing required columns")
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if id_col_index is None or deal_name_col_index is None:
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raise Exception("Required columns not found")
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properties: Dict[str, PropertyRow] = {}
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for row in range(2, ws.max_row + 1):
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id_val = ws.cell(row=row, column=id_col_index).value
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deal_name = ws.cell(row=row, column=deal_name_col_index).value
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id_val: Any = ws.cell(row=row, column=id_col).value
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deal_name: Any = ws.cell(row=row, column=deal_name_col).value
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listing_id: Any = ws.cell(row=row, column=listing_id_col).value
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if not id_val or not deal_name:
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if not id_val or not deal_name or not listing_id:
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continue
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properties[str(id_val).strip()] = extract_succinct_address(
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str(deal_name).strip()
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property_id: str = str(id_val).strip()
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properties[property_id] = PropertyRow(
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row_index=row,
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address=extract_succinct_address(str(deal_name)),
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listing_id=listing_id,
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)
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return properties
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@ -50,6 +50,7 @@ def get_first_row_signature(page: Page) -> str:
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def go_to_next_page(page: Page) -> bool:
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logger.info("Going to next page")
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before = get_first_row_signature(page)
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page.locator("#assessmentDatatable_next a").click()
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26
backend/ecmk_fetcher/handler/Dockerfile
Normal file
26
backend/ecmk_fetcher/handler/Dockerfile
Normal file
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@ -0,0 +1,26 @@
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FROM mcr.microsoft.com/playwright/python:v1.58.0-jammy
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# Install AWS Lambda RIE
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ADD https://github.com/aws/aws-lambda-runtime-interface-emulator/releases/latest/download/aws-lambda-rie /usr/local/bin/aws-lambda-rie
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RUN chmod +x /usr/local/bin/aws-lambda-rie
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# Set working directory (Lambda task root)
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WORKDIR /var/task
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COPY backend/ecmk_fetcher/handler/requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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COPY utils/ utils/
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COPY backend/ backend/
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COPY datatypes/ datatypes/
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# Local lambda entrypoint
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# ENTRYPOINT ["/usr/local/bin/aws-lambda-rie", "python", "-m", "awslambdaric"]
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#AWS lambda entrypoint
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ENTRYPOINT ["python", "-m", "awslambdaric"]
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# -----------------------------
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# Lambda handler
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# -----------------------------
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CMD ["backend.ecmk_fetcher.handler.handler.handler"]
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@ -1,9 +1,13 @@
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from typing import Any, Mapping
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from backend.ecmk_fetcher.processor import run_job
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from utils.logger import setup_logger
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logger = setup_logger()
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def handler(event: Mapping[str, Any], context: Any) -> None:
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logger.info("Entered handler")
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run_job()
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|
|
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12
backend/ecmk_fetcher/handler/requirements.txt
Normal file
12
backend/ecmk_fetcher/handler/requirements.txt
Normal file
|
|
@ -0,0 +1,12 @@
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awslambdaric
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playwright==1.58.0
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msal
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openpyxl
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sqlalchemy==2.0.36
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sqlmodel
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pytz==2024.2
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psycopg2-binary==2.9.10
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pydantic-settings==2.6.0
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boto3==1.35.44
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pandas==2.2.2
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numpy<2.0
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11
backend/ecmk_fetcher/local_handler/docker-compose.yml
Normal file
11
backend/ecmk_fetcher/local_handler/docker-compose.yml
Normal file
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@ -0,0 +1,11 @@
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version: "3.9"
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services:
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ecmk-fetcher-lambda:
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build:
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context: ../../../
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dockerfile: backend/ecmk_fetcher/handler/Dockerfile
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ports:
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- "9000:8080"
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env_file:
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- ../../../.env
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26
backend/ecmk_fetcher/local_handler/invoke_local_lambda.py
Normal file
26
backend/ecmk_fetcher/local_handler/invoke_local_lambda.py
Normal file
|
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@ -0,0 +1,26 @@
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#!/usr/bin/env python3
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import json
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import requests
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HOST = "localhost"
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PORT = "9000"
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LAMBDA_URL = f"http://{HOST}:{PORT}/2015-03-31/functions/function/invocations"
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payload = {
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"Records": [
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{
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"body": json.dumps(
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{
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"test": 123456,
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}
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)
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}
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]
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}
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response = requests.post(LAMBDA_URL, json=payload)
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print("Status code:", response.status_code)
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print("Response:")
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print(response.text)
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@ -1,6 +1,5 @@
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import os
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from typing import Dict, List
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from typing import Dict
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from playwright.sync_api import (
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sync_playwright,
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Locator,
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@ -9,7 +8,14 @@ from playwright.sync_api import (
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BrowserContext,
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)
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from backend.ecmk_fetcher.address_list import extract_addresses_from_spreadsheet
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from backend.app.db.functions.uploaded_files_functions import (
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get_uploaded_file_by_listing_type_and_source,
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)
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from backend.app.db.models.uploaded_file import FileSourceEnum, FileTypeEnum
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from backend.ecmk_fetcher.address_list import (
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PropertyRow,
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extract_addresses_from_spreadsheet,
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)
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from backend.ecmk_fetcher.browser import (
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attach_debug_listeners,
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download_with_retry,
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@ -18,14 +24,25 @@ from backend.ecmk_fetcher.browser import (
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go_to_next_page,
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login,
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)
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from backend.ecmk_fetcher.reports import REPORT_TYPES, build_property_id
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from backend.ecmk_fetcher.sharepoint import upload_file_to_sharepoint
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from backend.ecmk_fetcher.reports import (
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REPORT_TYPES,
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build_property_id,
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map_report_type_to_db_file_type,
|
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)
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from backend.ecmk_fetcher.upload import (
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upload_file_to_s3_and_update_db,
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upload_file_to_sharepoint,
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)
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from utils.logger import setup_logger
|
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from utils.sharepoint.domna_sharepoint_client import DomnaSharepointClient
|
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from utils.sharepoint.domna_sites import DomnaSites
|
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|
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logger = setup_logger()
|
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|
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|
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def run_job() -> None:
|
||||
username: str = ""
|
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|
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username: str = "" # TODO: get from github secrets
|
||||
password: str = ""
|
||||
|
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property_list_file: str = (
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|
|
@ -35,8 +52,7 @@ def run_job() -> None:
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BASE_DIR: str = os.path.dirname(__file__)
|
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filepath: str = os.path.join(BASE_DIR, property_list_file)
|
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|
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property_map: Dict[str, str] = extract_addresses_from_spreadsheet(filepath)
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property_ids: List[str] = list(property_map.keys())
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property_map: Dict[str, PropertyRow] = extract_addresses_from_spreadsheet(filepath)
|
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|
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sharepoint_client: DomnaSharepointClient = DomnaSharepointClient(
|
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sharepoint_location=DomnaSites.PRIVATE_PAY
|
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|
|
@ -44,6 +60,8 @@ def run_job() -> None:
|
|||
|
||||
sharepoint_base_path: str = "/Projects/Southern Housing/SH-SURV-26-001/Assessments"
|
||||
|
||||
s3_bucket: str = "retrofit-energy-assessments-dev"
|
||||
|
||||
with sync_playwright() as p:
|
||||
browser: Browser = p.chromium.launch(headless=True)
|
||||
context: BrowserContext = browser.new_context()
|
||||
|
|
@ -79,14 +97,38 @@ def run_job() -> None:
|
|||
|
||||
property_id: str = build_property_id(address, postcode)
|
||||
|
||||
if property_id not in property_ids:
|
||||
property_row: PropertyRow | None = property_map.get(property_id)
|
||||
|
||||
if not property_row:
|
||||
continue
|
||||
|
||||
sharepoint_address: str = property_map[property_id]
|
||||
logger.info(f"Match found for property {address}")
|
||||
|
||||
sharepoint_address: str = property_row.address
|
||||
|
||||
go_to_assessment_details(page, row)
|
||||
|
||||
for report_type in REPORT_TYPES:
|
||||
hubspot_listing_id: str = property_row.listing_id
|
||||
try:
|
||||
db_file_type: FileTypeEnum = (
|
||||
map_report_type_to_db_file_type(report_type)
|
||||
)
|
||||
|
||||
except ValueError:
|
||||
logger.error(
|
||||
f"Unknown report type {report_type}, skipping file"
|
||||
)
|
||||
continue
|
||||
|
||||
if get_uploaded_file_by_listing_type_and_source(
|
||||
hubspot_listing_id=int(hubspot_listing_id),
|
||||
file_type=db_file_type,
|
||||
file_source=FileSourceEnum.ECMK,
|
||||
):
|
||||
logger.debug("File already uploaded to s3, skipping")
|
||||
continue
|
||||
|
||||
file_path: str | None = download_with_retry(
|
||||
page, report_type
|
||||
)
|
||||
|
|
@ -94,6 +136,10 @@ def run_job() -> None:
|
|||
if not file_path:
|
||||
continue
|
||||
|
||||
logger.info(
|
||||
f"Successfully downloaded file {os.path.basename(file_path)} from ECMK"
|
||||
)
|
||||
|
||||
try:
|
||||
upload_file_to_sharepoint(
|
||||
client=sharepoint_client,
|
||||
|
|
@ -101,6 +147,20 @@ def run_job() -> None:
|
|||
base_path=sharepoint_base_path,
|
||||
subpath=sharepoint_address,
|
||||
)
|
||||
logger.info(
|
||||
f"Successfully loaded {os.path.basename(file_path)} to sharepoint for {address}"
|
||||
)
|
||||
|
||||
# Upload to s3 and update db
|
||||
upload_file_to_s3_and_update_db(
|
||||
bucket=s3_bucket,
|
||||
file_path=file_path,
|
||||
hubspot_listing_id=hubspot_listing_id,
|
||||
file_type=db_file_type,
|
||||
)
|
||||
|
||||
except Exception:
|
||||
raise
|
||||
finally:
|
||||
if os.path.exists(file_path):
|
||||
os.remove(file_path)
|
||||
|
|
|
|||
|
|
@ -1,5 +1,7 @@
|
|||
from enum import Enum
|
||||
|
||||
from backend.app.db.models.uploaded_file import FileTypeEnum
|
||||
|
||||
|
||||
class FileDownloadButtonType(Enum):
|
||||
ASSESSOR_HUB_SITENOTE_REPORT = 11
|
||||
|
|
@ -15,6 +17,16 @@ REPORT_TYPES = [
|
|||
]
|
||||
|
||||
|
||||
def map_report_type_to_db_file_type(report_type: int) -> FileTypeEnum:
|
||||
match report_type:
|
||||
case FileDownloadButtonType.ASSESSOR_HUB_SITENOTE_REPORT.value:
|
||||
return FileTypeEnum.ECMK_SITE_NOTE
|
||||
case FileDownloadButtonType.SITENOTE_REPORT.value:
|
||||
return FileTypeEnum.ECMK_RD_SAP_SITE_NOTE
|
||||
case _:
|
||||
raise ValueError("Unknown report type")
|
||||
|
||||
|
||||
def build_report_selector(report_type: int) -> str:
|
||||
return f"a.download-report-btn[data-report-type='{report_type}']"
|
||||
|
||||
|
|
|
|||
|
|
@ -1,20 +0,0 @@
|
|||
import os
|
||||
|
||||
from utils.sharepoint.domna_sharepoint_client import DomnaSharepointClient
|
||||
|
||||
|
||||
def upload_file_to_sharepoint(
|
||||
client: DomnaSharepointClient,
|
||||
file_path: str,
|
||||
base_path: str,
|
||||
subpath: str,
|
||||
) -> None:
|
||||
filename = os.path.basename(file_path)
|
||||
|
||||
full_path = f"{base_path}/{subpath}/1. Retrofit Assessment/A. Assessment"
|
||||
|
||||
client.upload_file(
|
||||
file_path=file_path,
|
||||
sharepoint_path=full_path,
|
||||
file_name=filename,
|
||||
)
|
||||
51
backend/ecmk_fetcher/upload.py
Normal file
51
backend/ecmk_fetcher/upload.py
Normal file
|
|
@ -0,0 +1,51 @@
|
|||
from datetime import datetime, timezone
|
||||
import os
|
||||
|
||||
from backend.app.db.connection import db_session
|
||||
from backend.app.db.models.uploaded_file import (
|
||||
FileSourceEnum,
|
||||
FileTypeEnum,
|
||||
UploadedFile,
|
||||
)
|
||||
from utils.s3 import upload_file_to_s3
|
||||
from utils.sharepoint.domna_sharepoint_client import DomnaSharepointClient
|
||||
|
||||
|
||||
def upload_file_to_sharepoint(
|
||||
client: DomnaSharepointClient,
|
||||
file_path: str,
|
||||
base_path: str,
|
||||
subpath: str,
|
||||
) -> None:
|
||||
filename = os.path.basename(file_path)
|
||||
|
||||
full_path = f"{base_path}/{subpath}/1. Retrofit Assessment/A. Assessment"
|
||||
|
||||
client.upload_file(
|
||||
file_path=file_path,
|
||||
sharepoint_path=full_path,
|
||||
file_name=filename,
|
||||
)
|
||||
|
||||
|
||||
def upload_file_to_s3_and_update_db(
|
||||
bucket: str, file_path: str, hubspot_listing_id: str, file_type: FileTypeEnum
|
||||
) -> None:
|
||||
filename: str = os.path.basename(file_path)
|
||||
key: str = f"documents/hubspot_listing_id/{hubspot_listing_id}/{filename}"
|
||||
|
||||
upload_file_to_s3(file_path, bucket, key)
|
||||
|
||||
uploaded_file = UploadedFile(
|
||||
s3_file_bucket=bucket,
|
||||
s3_file_key=key,
|
||||
s3_upload_timestamp=datetime.now(timezone.utc),
|
||||
hubspot_listing_id=hubspot_listing_id,
|
||||
file_source=FileSourceEnum.ECMK.value,
|
||||
file_type=file_type.value,
|
||||
)
|
||||
|
||||
with db_session() as session:
|
||||
# TODO: we should do multiple files at once to reduce db trips
|
||||
session.add(uploaded_file)
|
||||
session.commit()
|
||||
27
infrastructure/terraform/lambda/ecmk_to_ara/main.tf
Normal file
27
infrastructure/terraform/lambda/ecmk_to_ara/main.tf
Normal file
|
|
@ -0,0 +1,27 @@
|
|||
data "terraform_remote_state" "shared" {
|
||||
backend = "s3"
|
||||
config = {
|
||||
bucket = "assessment-model-terraform-state"
|
||||
key = "env:/${var.stage}/terraform.tfstate"
|
||||
region = "eu-west-2"
|
||||
}
|
||||
}
|
||||
|
||||
module "lambda" {
|
||||
source = "../../modules/lambda_with_sqs"
|
||||
|
||||
name = "ecmk_to_ara" #"address2uprn" for example
|
||||
stage = var.stage
|
||||
|
||||
image_uri = local.image_uri
|
||||
|
||||
# Optional: Set maximum_concurrency to limit concurrent SQS-triggered invocations (2-1000)
|
||||
maximum_concurrency = var.maximum_concurrency
|
||||
|
||||
batch_size = var.batch_size
|
||||
|
||||
environment = {
|
||||
STAGE = var.stage
|
||||
LOG_LEVEL = "info"
|
||||
}
|
||||
}
|
||||
16
infrastructure/terraform/lambda/ecmk_to_ara/provider.tf
Normal file
16
infrastructure/terraform/lambda/ecmk_to_ara/provider.tf
Normal file
|
|
@ -0,0 +1,16 @@
|
|||
terraform {
|
||||
required_providers {
|
||||
aws = {
|
||||
source = "hashicorp/aws"
|
||||
version = ">= 5.0"
|
||||
}
|
||||
}
|
||||
|
||||
backend "s3" {
|
||||
bucket = "ecmk-to-ara-terraform-state"
|
||||
key = "terraform.tfstate"
|
||||
region = "eu-west-2"
|
||||
}
|
||||
|
||||
required_version = ">= 1.2.0"
|
||||
}
|
||||
37
infrastructure/terraform/lambda/ecmk_to_ara/variables.tf
Normal file
37
infrastructure/terraform/lambda/ecmk_to_ara/variables.tf
Normal file
|
|
@ -0,0 +1,37 @@
|
|||
variable "lambda_name" {
|
||||
type = string
|
||||
description = "Logical name of the lambda (e.g. address2uprn)"
|
||||
}
|
||||
|
||||
variable "stage" {
|
||||
description = "Deployment stage (e.g. dev, prod)"
|
||||
type = string
|
||||
}
|
||||
variable "ecr_repo_url" {
|
||||
type = string
|
||||
description = "ECR repository URL (no tag, no digest)"
|
||||
}
|
||||
|
||||
variable "image_digest" {
|
||||
type = string
|
||||
description = "Image digest (sha256:...)"
|
||||
}
|
||||
|
||||
variable "maximum_concurrency" {
|
||||
type = number
|
||||
default = 2
|
||||
description = "Maximum number of concurrent Lambda invocations from SQS (2-1000). null = no limit."
|
||||
}
|
||||
|
||||
variable "batch_size" {
|
||||
type = number
|
||||
default = 1
|
||||
}
|
||||
|
||||
locals {
|
||||
image_uri = "${var.ecr_repo_url}@${var.image_digest}"
|
||||
}
|
||||
|
||||
output "resolved_image_uri" {
|
||||
value = local.image_uri
|
||||
}
|
||||
|
|
@ -538,6 +538,20 @@ module "pashub_to_ara_registry" {
|
|||
stage = var.stage
|
||||
}
|
||||
|
||||
################################################
|
||||
# ECMK to Ara – Lambda
|
||||
################################################
|
||||
module "ecmk_to_ara_state_bucket" {
|
||||
source = "../modules/tf_state_bucket"
|
||||
bucket_name = "ecmk-to-ara-terraform-state"
|
||||
}
|
||||
|
||||
module "ecmk_to_ara_registry" {
|
||||
source = "../modules/container_registry"
|
||||
name = "ecmk_to_ara"
|
||||
stage = var.stage
|
||||
}
|
||||
|
||||
################################################
|
||||
# Engine – Lambda ECR
|
||||
################################################
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue