Python · Data workflows · Office reporting

Water Reporting Automation

Turn recurring water-status reporting into a traceable workflow: period-based data retrieval, deterministic calculations, visual summaries and template-based Office outputs.

3 reporting modulesPython + SQL data accessExcel / PowerPoint

Recurring periods

A report period controls retrieval, aggregation and output naming, keeping successive reporting runs aligned.

Different data shapes

Reservoir rankings, grid rainfall and time-series simulations require different calculations and presentation formats.

Traceable decisions

Missing inputs and comparison status need explicit handling rather than silent substitution.

Office deliverables

The implementation prepares familiar Excel workbooks and PowerPoint decks for human review.

Method

The internal implementation reads data sources and uses Python to calculate and assemble outputs. This public page demonstrates the workflow using a separate, synthetic local fixture.

Reporting workflowRead-only data01Python calculations02Checks + trace03Excel / PowerPoint04Human review05Reporting workflowRead-only data01Python calculations02Checks + trace03Excel / PowerPoint04Human review05

Anonymous architecture diagram. No internal database names, schemas or endpoints are exposed.

1

Select period

Use a consistent reporting date across inputs and outputs.

2

Read inputs

Retrieve permitted data without modifying the source database.

3

Calculate

Aggregate, compare, rank and prepare series with deterministic rules.

4

Check and record

Keep input completeness, provenance and comparison status visible.

5

Create deliverables

Write Office outputs and execution notes, then review them in native applications.

INTERACTIVE SAMPLE

Explore the three modules

Choose a sample week and a module. Charts, tabular values and the audit summary update together. All values below are invented demonstration data; this page has no database connection.

The synthetic example rules illustrate processing concepts and do not reproduce the complete calculation rules of the internal reports.

Sample data · local fixture

Run trace

Sample values

Outputs and handoff

The source implementation includes Office output paths. The browser sample shows their structure; it does not run the internal tools or create an actual operational report.

Excel workbooks

  • Ranking tables and computed indicators.
  • Rainfall aggregates and comparison summaries.
  • Simulation parameter tables, adopted values and adjustment records.

PowerPoint and execution notes

  • Chart and map placement into report layouts.
  • Report-period and source context alongside visuals.
  • Execution notes and a final native-Office review step.

Implementation and validation boundary

Implemented in the reviewed source
  • Three modules: reservoir storage ranking, grid-based rainfall and reservoir time-series simulation.
  • Python workflows for data preparation and Excel / PowerPoint output.
  • Simulation parameter editing, Excel import/export and comparison warnings in the development phase.
Verification still has limits
  • Source review is evidence of implementation, not a fresh run of the internal reporting pipeline.
  • A historical acceptance report identified a GUI comparison-status issue. Later code contains a correction and regression checks; those tests were not rerun for this showcase.
  • Native Excel / PowerPoint output and the Office COM writeback path still require execution and visual review in the appropriate environment.
  • Rainfall cross-year comparison retains an untested boundary in the reviewed snapshot.

This page validates only its synthetic interaction and display logic. It makes no claim of full production rollout, a measured time saving, or an end-to-end operational pass.