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## Overview
This block (`block.py`) is responsible for loading and scoring the model.
## Key Inputs & Outputs
- **Request**: Refer to `request_schema.json` for detailed input fields and validation rules.
- **Response**: Refer to `response_schema.json` for the returned structure and data types.
## Implementation Details
- All core logic resides in `block.py` within the `__main__` function.
**Hello world!!!**

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import logging
import requests
@flowx_block
def example_function(request: dict) -> dict:
# Configure logging
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s [%(levelname)s] %(name)s - %(message)s",
)
logger = logging.getLogger(__name__)
# Processing logic here...
url = "http://centurion-h2o-server.default.svc.cluster.local:8000/scoring"
# url = "http://localhost:8000/scoring"
headers = {
"accept": "application/json",
"Content-Type": "application/json"
}
def __main__(score_results:float, AT34B:int, AT12S:int, revolving_amount_percent_available_credit:float, AT28A:int, record_counts_total_trade_count:int, record_counts_negative_trade_count:int, record_counts_revolving_trade_count:int, AT33A:int, AT35A:int,
record_counts_total_inquiry_count:int, IN20S:int, RE102S:int, installment_amount_monthly_payment:float, S061S:int,
record_counts_installment_trade_count:int, BR02S:int, AGG103:float, ALL231:float, G069S:int, AT24S:int, BI02S:int)->dict:
input_data = {
"score_results": score_results,
"AT34B": AT34B,
"AT12S": AT12S,
"revolving_amount_percent_available_credit": revolving_amount_percent_available_credit,
"AT28A": AT28A,
"record_counts_total_trade_count": record_counts_total_trade_count,
"record_counts_negative_trade_count": record_counts_negative_trade_count,
"record_counts_revolving_trade_count": record_counts_revolving_trade_count,
"AT33A": AT33A,
"AT35A": AT35A,
"record_counts_total_inquiry_count": record_counts_total_inquiry_count,
"IN20S": IN20S,
"RE102S": RE102S,
"installment_amount_monthly_payment": installment_amount_monthly_payment,
"S061S": S061S,
"record_counts_installment_trade_count": record_counts_installment_trade_count,
"BR02S": BR02S,
"AGG103": AGG103,
"ALL231": ALL231,
"G069S": G069S,
"AT24S": AT24S,
"BI02S": BI02S
return {
"meta_info": [
{
"name": "created_date",
"type": "string",
"value": "2024-11-05"
}
filtered_data = {key: value for key, value in input_data.items() if value is not None}
data = {
"model_name": "repeat_v1",
"features": filtered_data
],
"fields": [
{
"name": "",
"type": "",
"value": ""
}
]
}
try:
try:
response = requests.post(url, headers=headers, json=data)
response.raise_for_status() # Raise an error for HTTP issues
# Parse the response and return the "" value
response_data = response.json()
_value = response_data.get("prediction", {}).get("p1")
except requests.RequestException as error:
logger.error(f"Error while predicting: {error}")
return None
if _value is not None:
logger.info(f"Prediction : {_value}")
return {'probability': float(_value)}
else:
logger.error("Response does not contain ''")
return None
except Exception as error:
logger.error(f"Error while predicting: {error}")
return {'error': str(error)}
# finally:
# h2o.cluster().shutdown()

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{
"$schema": "http://json-schema.org/draft-07/schema#",
"type": "object",
"properties": {
"score_results": {
"type": ["number", "null"],
"description": "transunion score"
},
"AT34B": {
"type": ["integer", "null"],
"description": "Utilization for open trades verified in past 12 months (excluding mortgage and home equity)"
},
"AT12S": {
"type": ["integer", "null"],
"description": "Number of open trades verified in past 12 months"
},
"revolving_amount_percent_available_credit": {
"type": ["number", "null"],
"description": "The percentage of available credit that has been utilized in revolving credit accounts"
},
"AT28A": {
"type": ["integer", "null"],
"description": "Total credit line of open trades verified in past 12 months"
},
"record_counts_total_trade_count": {
"type": ["integer", "null"],
"description": "Total number of trade-related (transaction) records"
},
"record_counts_negative_trade_count": {
"type": ["integer", "null"],
"description": "Number of financial transaction that resulted in a negative impact"
},
"record_counts_revolving_trade_count": {
"type": ["integer", "null"],
"description": "Records in the database related to revolving trade accounts (a credit card account)"
},
"AT33A": {
"type": ["integer", "null"],
"description": "Total balance of open trades verified in past 12 months"
},
"AT35A": {
"type": ["integer", "null"],
"description": "Average balance of open trades verified in past 12 months"
},
"record_counts_total_inquiry_count": {
"type": ["integer", "null"],
"description": "Number of times user done inquiry"
},
"IN20S": {
"type": ["integer", "null"],
"description": "Months since oldest installment trade opened"
},
"RE102S": {
"type": ["integer", "null"],
"description": "Average credit line of open revolving trades verified in past 12 months"
},
"installment_amount_monthly_payment": {
"type": ["number", "null"],
"description": "The monthly payment amount for installment credit accounts"
},
"S061S": {
"type": ["integer", "null"],
"description": "Months since most recent 60 or more days past due"
},
"record_counts_installment_trade_count": {
"type": ["integer", "null"],
"description": "The total count of installment trade records (fixed repayment schedules)"
},
"BR02S": {
"type": ["integer", "null"],
"description": "Number of open bank revolving trades"
},
"AGG103": {
"type": ["number", "null"],
"description": "Aggregate non-mortgage balances for month 3"
},
"ALL231": {
"type": ["number", "null"],
"description": "Aggregate excess payment for all accounts over the past month"
},
"G069S": {
"type": ["integer", "null"],
"description": "Number of trades 90 or more days past due in past 12 months"
},
"AT24S": {
"type": ["integer", "null"],
"description": "Number of currently open and satisfactory trades 6 months or older"
},
"BI02S": {
"type": ["integer", "null"],
"description": "Number of open bank installment trades"
}
},
"required": []
}
{}

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jsonschema==4.23.0
requests==2.32.3
{}

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{
"$schema": "http://json-schema.org/draft-07/schema#",
"type": "object",
"properties": {
"probability": {
"type": "number",
"description": "Model predicted score."
}
}
}
{}