# brook1167/rossmann-pharmaceuticals architecture

> Architecture diagram of the GitHub repository brook1167/rossmann-pharmaceuticals, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-09-25). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/brook1167/rossmann-pharmaceuticals
- Repository: https://github.com/brook1167/rossmann-pharmaceuticals

## Overview

Rossmann Pharmaceuticals is a sales-forecasting project, with exploratory analysis and model development alongside a Flask prediction endpoint. The documented user flow is an analyst submitting store and date features and receiving predicted sales. The endpoint’s preprocessing and model-loading imports are not present in the tree, so their implementations and any monitoring mechanism cannot be traced; links are limited to behavior visible in the supplied source and README.

Main entry points: [`app/app.py`](https://github.com/brook1167/rossmann-pharmaceuticals/blob/main/app/app.py) (Flask application), [`scripts/modeling.py`](https://github.com/brook1167/rossmann-pharmaceuticals/blob/main/scripts/modeling.py) (Model training), [`notebooks`](https://github.com/brook1167/rossmann-pharmaceuticals/tree/main/notebooks) (Exploratory analysis), [`scripts/data_processing.py`](https://github.com/brook1167/rossmann-pharmaceuticals/blob/main/scripts/data_processing.py) (Data processing)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_analysis["Data analysis"]
  node_exploration["Exploratory analysis"]
  node_processing["Data processing<br/>[data_processing.py]"]
  node_visualization["Sales visualizations<br/>[data_plotter.py]"]
end

subgraph group_modeling["Forecast modeling"]
  node_features["Feature preparation<br/>[modeling.py]"]
  node_training["Model training<br/>[modeling.py]"]
  node_evaluation["Model evaluation<br/>[modeling.py]"]
  node_lstm["LSTM forecasting<br/>[modeling.py]"]
end

subgraph group_serving["Prediction serving"]
  node_webapp["Flask application<br/>[app.py]"]
  node_inputprep["Request preprocessing"]
  node_predictor["Loaded prediction model<br/>[app.py]"]
  node_forecast["Sales prediction"]
end

subgraph group_operations["Model operations"]
  node_deployment["Prediction deployment"]
  node_monitoring["Performance monitoring"]
end

node_analyst(("Finance analyst"))
node_dataset["Sales data"]

node_dataset -->|"analyzed in"| node_exploration
node_dataset -->|"inspected and transformed"| node_processing
node_dataset -->|"visualized"| node_visualization
node_features -->|"prepares features for"| node_training
node_training -->|"evaluated by"| node_evaluation
node_analyst -->|"submits request"| node_webapp
node_webapp -->|"calls"| node_inputprep
node_webapp -->|"loads and predicts with"| node_predictor
node_inputprep -->|"supplies processed input"| node_predictor
node_predictor -->|"returns prediction"| node_forecast
node_webapp -->|"returns result"| node_analyst
node_training -->|"supports time-series methods"| node_lstm

click node_exploration "https://github.com/brook1167/rossmann-pharmaceuticals/tree/main/notebooks"
click node_processing "https://github.com/brook1167/rossmann-pharmaceuticals/blob/main/scripts/data_processing.py"
click node_visualization "https://github.com/brook1167/rossmann-pharmaceuticals/blob/main/scripts/data_plotter.py"
click node_features "https://github.com/brook1167/rossmann-pharmaceuticals/blob/main/scripts/modeling.py"
click node_training "https://github.com/brook1167/rossmann-pharmaceuticals/blob/main/scripts/modeling.py"
click node_evaluation "https://github.com/brook1167/rossmann-pharmaceuticals/blob/main/scripts/modeling.py"
click node_lstm "https://github.com/brook1167/rossmann-pharmaceuticals/blob/main/scripts/modeling.py"
click node_webapp "https://github.com/brook1167/rossmann-pharmaceuticals/blob/main/app/app.py"
click node_predictor "https://github.com/brook1167/rossmann-pharmaceuticals/blob/main/app/app.py"
click node_deployment "https://github.com/brook1167/rossmann-pharmaceuticals/tree/main/app"

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_exploration,node_processing,node_visualization toneBlue
class node_features,node_training,node_evaluation,node_lstm toneAmber
class node_webapp,node_inputprep,node_predictor,node_forecast toneMint
class node_deployment,node_monitoring toneRose
class node_analyst,node_dataset toneIndigo
```

## Components

### Data analysis

- [Exploratory analysis](https://github.com/brook1167/rossmann-pharmaceuticals/tree/main/notebooks): `notebooks`
- [Data processing](https://github.com/brook1167/rossmann-pharmaceuticals/blob/main/scripts/data_processing.py): `scripts/data_processing.py`
- [Sales visualizations](https://github.com/brook1167/rossmann-pharmaceuticals/blob/main/scripts/data_plotter.py): `scripts/data_plotter.py`

### Forecast modeling

- [Feature preparation](https://github.com/brook1167/rossmann-pharmaceuticals/blob/main/scripts/modeling.py): `scripts/modeling.py`
- [Model training](https://github.com/brook1167/rossmann-pharmaceuticals/blob/main/scripts/modeling.py): `scripts/modeling.py`
- [Model evaluation](https://github.com/brook1167/rossmann-pharmaceuticals/blob/main/scripts/modeling.py): `scripts/modeling.py`
- [LSTM forecasting](https://github.com/brook1167/rossmann-pharmaceuticals/blob/main/scripts/modeling.py): `scripts/modeling.py`

### Prediction serving

- [Flask application](https://github.com/brook1167/rossmann-pharmaceuticals/blob/main/app/app.py): `app/app.py`
- **Request preprocessing**
- [Loaded prediction model](https://github.com/brook1167/rossmann-pharmaceuticals/blob/main/app/app.py): `app/app.py`
- **Sales prediction**

### Model operations

- [Prediction deployment](https://github.com/brook1167/rossmann-pharmaceuticals/tree/main/app): `app`
- **Performance monitoring**

### Other components

- **Finance analyst**
- **Sales data**

## Connections

- Sales data → Exploratory analysis: analyzed in
- Sales data → Data processing: inspected and transformed
- Sales data → Sales visualizations: visualized
- Feature preparation → Model training: prepares features for
- Model training → Model evaluation: evaluated by
- Finance analyst → Flask application: submits request
- Flask application → Request preprocessing: calls
- Flask application → Loaded prediction model: loads and predicts with
- Request preprocessing → Loaded prediction model: supplies processed input
- Loaded prediction model → Sales prediction: returns prediction
- Flask application → Finance analyst: returns result
- Model training → LSTM forecasting: supports time-series methods