Rename package from baflakehouse to bankfraud

- DESCRIPTION: Package name and URL updated to /bank-fraud
- R/baflakehouse-package.R → R/bankfraud-package.R
- _pkgdown.yml: url and reference alias updated
- deploy.yaml: TARGET_DIR updated to /var/www/docs/bank-fraud/
- deploy/baflakehouse.caddy: deleted (stale, superseded by rsync workflow)
- tests and README updated

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

.gitea/workflows/deploy.yaml

@@ -57,7 +57,7 @@ jobs:
           SSH_PRIVATE_KEY: ${{ secrets.DEPLOY_SSH_KEY }}
           SERVER_IP: ${{ secrets.DEPLOY_SERVER_IP }}
           SERVER_USER: ${{ secrets.DEPLOY_SERVER_USER }}
-          TARGET_DIR: /var/www/docs/baflakehouse/
+          TARGET_DIR: /var/www/docs/bank-fraud/
         run: |
           # Setup SSH key
           mkdir -p ~/.ssh

DESCRIPTION

@@ -1,4 +1,4 @@
-Package: baflakehouse
+Package: bankfraud
 Title: Lakehouse Workflow for the Bank Account Fraud Dataset
 Version: 0.0.0.9000
 Authors@R: 
@@ -52,5 +52,5 @@ Suggests:
     testthat (>= 3.0.0),
     withr
 Config/testthat/edition: 3
-URL: https://docs.robwiederstein.org/baflakehouse
+URL: https://docs.robwiederstein.org/bank-fraud
 BugReports: https://git.robwiederstein.org/rkw/bank-fraud-baf-lakehouse/issues

Dockerfile

@@ -1,4 +1,4 @@
-FROM rocker/verse:4.4
+FROM rocker/verse:4.5.2
 
 # System dependencies for arrow, lightgbm, and ggplot2 (ragg/textshaping)
 # Quarto is pre-installed in rocker/verse
@@ -25,13 +25,16 @@ WORKDIR /app
 COPY renv.lock .Rprofile ./
 COPY renv/activate.R renv/settings.json renv/
 
-RUN Rscript -e "renv::restore()"
+RUN Rscript -e "renv::restore(prompt = FALSE)"
 
 # Copy the full package source
 COPY . .
 
-# Install the local package into the renv library
-RUN Rscript -e "renv::install('.')"
+# Install the local package into the renv library, then re-run restore so
+# any package that renv skipped by finding it in the rocker system library
+# (e.g. styler) ends up in the project library where renv can actually see it.
+RUN Rscript -e "renv::install('.')" && \
+    Rscript -e "renv::restore(prompt = FALSE)"
 
 # Non-secret default — override with --env at runtime if needed
 ENV BAF_BUCKET=lake
@@ -41,5 +44,5 @@ ENV BAF_BUCKET=lake
 #     --env BAF_ENDPOINT=172.19.0.1:9100 \
 #     --env BAF_KEY=... \
 #     --env BAF_SECRET=... \
-#     baflakehouse
+#     bankfraud
 CMD ["Rscript", "deploy.R"]

R/bankfraud-package.R

@@ -1,9 +1,9 @@
-#' baflakehouse: Lakehouse Workflow for the Bank Account Fraud Dataset
+#' bankfraud: Lakehouse Workflow for the Bank Account Fraud Dataset
 #'
 #' Tools to ingest the Bank Account Fraud (BAF) Base dataset into a MinIO/S3-backed
 #' lakehouse, clean encoded missing values, and produce reproducible reporting
 #' artifacts orchestrated with targets.
 #'
 #' @docType _PACKAGE
-#' @name baflakehouse-package
+#' @name bankfraud-package
 NULL

README.md

@@ -2,18 +2,18 @@
 output: github_document
 ---
 
-- [baflakehouse](#baflakehouse)
+- [bankfraud](#bankfraud)
   - [About](#about)
   - [Results](#results)
   - [Clone](#clone)
   - [Acknowledgements](#acknowledgements)
   - [Citation](#citation)
 
-# baflakehouse
+# bankfraud
 
 ## About
 
-The baflakehouse package is an end-to-end machine learning pipeline built to detect credit card fraud. Rather than relying on static local files, it implements a modern Lakehouse architecture. It ingests a massive 1-million-row dataset, partitions it into Parquet files via Apache Arrow, stores it on a MinIO object server, and trains a production-ready LightGBM model orchestrated entirely by the targets package.
+The bankfraud package is an end-to-end machine learning pipeline built to detect credit card fraud. Rather than relying on static local files, it implements a modern Lakehouse architecture. It ingests a massive 1-million-row dataset, partitions it into Parquet files via Apache Arrow, stores it on a MinIO object server, and trains a production-ready LightGBM model orchestrated entirely by the targets package.
 Significance
 
 Financial fraud datasets suffer from extreme class imbalance, making traditional accuracy metrics highly misleading. This pipeline is engineered specifically to handle that imbalance without aggressive synthetic oversampling.

_pkgdown.yml

@@ -1,4 +1,4 @@
-url: https://docs.robwiederstein.org/baflakehouse
+url: https://docs.robwiederstein.org/bank-fraud
 
 template:
   bootstrap: 5
@@ -17,7 +17,7 @@ reference:
   - title: "Data Ingestion & Lakehouse Setup"
     desc: "Functions for moving raw CSV data into the MinIO Lakehouse as partitioned Parquet."
     contents:
-      - baflakehouse-package
+      - bankfraud-package
       - convert_to_parquet
       - connect_baf
       - clean_baf_base

deploy/baflakehouse.caddy

@@ -1,13 +0,0 @@
-# BAF Lakehouse pkgdown site
-# Served at: https://docs.robwiederstein.org/baflakehouse
-#
-# handle_path strips the /baflakehouse prefix before handing off to the
-# file server, so requests map correctly to the flat docs/ directory.
-#
-# NOTE: The path below must match the mount point inside the Caddy Docker
-# container (i.e., wherever /data/projects/ is mounted in docker-compose.yml).
-
-handle_path /baflakehouse* {
-    root * /data/projects/bank-fraud-baf-lakehouse/docs
-    file_server
-}

tests/testthat.R

@@ -1,4 +1,4 @@
 library(testthat)
-library(baflakehouse)
+library(bankfraud)
 
-test_check("baflakehouse")
+test_check("bankfraud")