mirror of
https://github.com/Hestia-Homes/Model.git
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83 lines
3 KiB
Python
83 lines
3 KiB
Python
import pandas as pd
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import requests
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from requests.exceptions import RequestException
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from utils.logger import setup_logger
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from utils.s3 import save_dataframe_to_s3_parquet
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logger = setup_logger()
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class SAPChangeModelAPI:
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def __init__(
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self,
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portfolio_id,
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timestamp,
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base_url="https://api.dev.hestia.homes",
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):
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"""
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property_id (int, optional): :
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:param portfolio_id: The portfolio ID to be passed in the request payload. Defaults to 4.
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:param timestamp: The creation timestamp to be passed in the request payload. Defaults to None.
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:param base_url:
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"""
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self.base_url = base_url
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self.portfolio_id = portfolio_id
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self.timestamp = timestamp
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def upload_scoring_data(self, df: pd.DataFrame, bucket: str) -> str:
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"""
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The sap model api needs a scoring data that is sitting in s3 to use as a dataset to score on
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This method allows the user to upload a table as a parquet file. This method will return the file
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location, which can be used as the file location in the predict() method
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:param df: Pandas dataframe with scoring data to be uploaded to s3
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:param bucket: Name of the bucket in s3 to upload to
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:return:
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"""
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# Store parquet file in s3 for scoring
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file_location = "sap_change_predictions/{portfolio_id}/{timestamp}.parquet".format(
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portfolio_id=self.portfolio_id,
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timestamp=self.timestamp
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)
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logger.info("Storing scoring data to s3")
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save_dataframe_to_s3_parquet(
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df=df,
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bucket_name=bucket,
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file_key=file_location
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)
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return file_location
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def predict(self, file_location):
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"""Makes a POST request to the SAP Change Model API with the provided parameters.
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Args:
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file_location (str): The file location to be passed in the request payload.
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Returns:
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dict: The API response as a dictionary if the request was successful, None otherwise.
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"""
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logger.info("Making request to sap change api")
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url = f"{self.base_url}/sapmodel/predict"
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payload = {
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"file_location": file_location,
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"property_id": "", # This should get removed
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"portfolio_id": self.portfolio_id,
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"created_at": self.timestamp
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}
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try:
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response = requests.post(url, json=payload, headers={"Content-Type": "application/json"})
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# Check if the response status code is 2xx (success)
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response.raise_for_status()
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# Return the JSON response as a Python dictionary
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return response.json()
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except RequestException as e:
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logger.error(f"An error occurred: {e}")
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# In case of an error, you might want to return None or raise the exception
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# depending on how you want to handle errors in your application
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return None
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