added r script not releasable code yet

.gitignore

@@ -1,5 +1,8 @@
+.env
 **/*.pyc
 .coverage
 htmlcov
 **/.DS_Store
 **/*.log
+
+.codegpt

LICENSE

@@ -1,13 +1,6 @@
 MIT License
 
-Copyright (c) 2022 ArjanCodes and Mark Todisco
 
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
 
 The above copyright notice and this permission notice shall be included in all
 copies or substantial portions of the Software.

main.py

@@ -3,15 +3,19 @@ from dash import Dash
 from dash_bootstrap_components.themes import BOOTSTRAP
 
 from src.components.layout import create_layout
-from src.data.loader_gz import load_transaction_data
+from src.data.loader_gz import load_spc_data
 from json import load
+import os
+from dotenv import load_dotenv
 
+load_dotenv()
 config_file = "./config.json"
+
 with open(config_file) as config_f:
     config=load(config_f)
 
 def main() -> None:
-
+    print(os.getenv("MY_ENV_VAR"))
     # load the data and create the data manager
     data = load_transaction_data(config["DATA_PATH"])
 

poetry.lock

@@ -744,6 +744,21 @@ files = [
 [package.dependencies]
 six = ">=1.5"
 
+[[package]]
+name = "python-dotenv"
+version = "1.0.0"
+description = "Read key-value pairs from a .env file and set them as environment variables"
+category = "main"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "python-dotenv-1.0.0.tar.gz", hash = "sha256:a8df96034aae6d2d50a4ebe8216326c61c3eb64836776504fcca410e5937a3ba"},
+    {file = "python_dotenv-1.0.0-py3-none-any.whl", hash = "sha256:f5971a9226b701070a4bf2c38c89e5a3f0d64de8debda981d1db98583009122a"},
+]
+
+[package.extras]
+cli = ["click (>=5.0)"]
+
 [[package]]
 name = "pytz"
 version = "2023.3.post1"
@@ -915,4 +930,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.11"
-content-hash = "aec3b7eae4106cf6a3129ef080da73c29c6c87cdce2ad8daa07863e6530a583b"
+content-hash = "7f3e66382a8e3dfd6c4b32282eb27fa714b79e8aa2ddbf66a6adfdae0e127732"

pyproject.toml

@@ -13,6 +13,7 @@ pydantic = "^2.5.3"
 dash-bootstrap-components = "^1.5.0"
 pandas = "^2.1.4"
 dash-daq = "^0.5.0"
+python-dotenv = "^1.0.0"
 
 
 [build-system]

src/components/data_table.py

@@ -0,0 +1,48 @@
+import pandas as pd
+import plotly.express as px
+from dash import Dash, dcc, html
+from dash.dependencies import Input, Output
+
+from ..data.loader import DataSchema
+from . import ids
+
+
+def render(app: Dash, data: pd.DataFrame) -> html.Div:
+    @app.callback(
+        Output(ids.BAR_CHART, "children"),
+        [
+            Input(ids.YEAR_DROPDOWN, "value"),
+            Input(ids.MONTH_DROPDOWN, "value"),
+            Input(ids.CATEGORY_DROPDOWN, "value"),
+        ],
+    )
+    def update_bar_chart(
+        years: list[str], months: list[str], categories: list[str]
+    ) -> html.Div:
+        filtered_data = data.query(
+            "year in @years and month in @months and category in @categories"
+        )
+
+        if filtered_data.shape[0] == 0:
+            return html.Div("No data selected.", id=ids.BAR_CHART)
+
+        def create_pivot_table() -> pd.DataFrame:
+            pt = filtered_data.pivot_table(
+                values=DataSchema.AMOUNT,
+                index=[DataSchema.CATEGORY],
+                aggfunc="sum",
+                fill_value=0,
+                dropna=False,
+            )
+            return pt.reset_index().sort_values(DataSchema.AMOUNT, ascending=False)
+
+        fig = px.bar(
+            create_pivot_table(),
+            x=DataSchema.CATEGORY,
+            y=DataSchema.AMOUNT,
+            color=DataSchema.CATEGORY,
+        )
+
+        return html.Div(dcc.Graph(figure=fig), id=ids.BAR_CHART)
+
+    return html.Div(id=ids.BAR_CHART)

src/components/ids.py

@@ -1,5 +1,6 @@
 BAR_CHART = "bar-chart"
 PIE_CHART = "pie-chart"
+DATA_TABLE = "data-table"
 
 SELECT_ALL_CATEGORIES_BUTTON = "select-all-categories-button"
 CATEGORY_DROPDOWN = "category-dropdown"

src/data/loader_gz.py

@@ -1,6 +1,5 @@
 import pandas as pd
 
-
 class DataSchema:
     AMOUNT = "amount"
     CATEGORY = "category"
@@ -8,8 +7,17 @@ class DataSchema:
     MONTH = "month"
     YEAR = "year"
 
+class SPC_Schema:
+    FC = "FC"
+    Category1 = "Category1"
+    Category2 = "Category2"
+    Category3 = "Category3"
+    Batch = "Batch"
+    Lot = "Lot"
+    DateTime = "DateTime"
+    Value = "Value"
 
-def load_transaction_data(path: str) -> pd.DataFrame:
+def load_spc_data(path: str) -> pd.DataFrame:
     # load the data from the CSV file
     data = pd.read_csv(
         path,

src/data/statistic_ver.R

@@ -0,0 +1,3 @@
+library("ggplot2")
+
+read.csv("data\\")

test

@@ -1 +0,0 @@
-i

test1

@@ -1 +0,0 @@
-i

tools/stat_check.R

@@ -0,0 +1,11 @@
+library(tidyverse)
+library(lubridate
+)
+print("Hello")
+
+setwd("~/code/2024-dash_v1/data")
+data <- read.csv("transactions.csv.gz")
+
+print(data)
+
+print("Goodbye")