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Sep 10, 2025
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Fix min Python version in README for 0.9 series #642

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b0028b3
Fix min Python version in README for 0.9 series
martin-traverse Sep 10, 2025
b9e2849
Minor fixes in the readme example model
martin-traverse Sep 10, 2025
ee29e27
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martin-traverse Sep 10, 2025
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20 changes: 10 additions & 10 deletions tracdap-runtime/python/README.md
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Expand Up @@ -45,7 +45,7 @@ For a complete guide to writing models in the TRAC framework, see the

## 📦 Requirements

* **Python :** 3.10 or later
* **Python :** 3.9 or later
* **Tools :** Any popular IDE (PyCharm, VS Code, etc.)
* **Pandas :** Version 1.2 and later are supported
* **Polars :** Version 1.0 and later are supported
Expand All @@ -72,35 +72,35 @@ import tracdap.rt.api as trac
class QuickStartModel(trac.TracModel):

def define_parameters(self):

# Define any parameters the model will use
return trac.define_parameters(
trac.P("exchange_rate", trac.FLOAT, "EUR / GBP exchange rate")
)

def define_inputs(self):

# Define an input table with the columns and data types that the model needs
customer_loans = trac.define_input_table(
trac.F("id", trac.STRING, label="Customer account ID", business_key=True),
trac.F("region", trac.STRING, label="Customer home region", categorical=True),
trac.F("loan_amount", trac.FLOAT, label="Principal loan amount"),
trac.F("loan_amount", trac.FLOAT, label="Principal loan amount (EUR)"),
label="Customer loans data")

return {"customer_loans": customer_loans}

def define_outputs(self):

# Define an output table with the columns and data types that the model will produce
loans_by_region = trac.define_output_table(
trac.F("region", trac.STRING, label="Customer home region", categorical=True),
trac.F("loan_amount", trac.FLOAT, label="Principal loan amount"),
trac.F("total_lending", trac.FLOAT, label="Total lending (GBP)"),
label="Loans by region")

return {"loans_by_region": loans_by_region}

def run_model(self, ctx: trac.TracContext):

# Parameters and inputs are loaded and validated by TRAC
exchange_rate = ctx.get_parameter("exchange_rate")
customer_loans = ctx.get_pandas_table("customer_loans")
Expand All @@ -109,11 +109,11 @@ class QuickStartModel(trac.TracModel):
customer_loans["loan_amount_gbp"] = customer_loans["loan_amount"] * exchange_rate

loans_by_region = customer_loans \
.groupby("region", as_index=False) \
.aggregate({"loan_amount": "sum"})
.groupby("region", observed=True, as_index=False) \
.aggregate(total_lending=("loan_amount_gbp", "sum"))

# Logs written to ctx.log are captured by the platform
ctx.log().info("Aggregated loans for {} regions", len(loans_by_region))
ctx.log().info("Aggregated loans for %d regions", len(loans_by_region))

# Outputs are handed back to TRAC for validation and saving
ctx.put_pandas_table("loans_by_region", loans_by_region)
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