refactor: migrate to src/ package + add DinD-based E2E runner with debug artifacts

- Replace legacy standalone scripts with a proper src-layout Python package
  (baudolo backup/restore/configure entrypoints via pyproject.toml)
- Remove old scripts/files (backup-docker-to-local.py, recover-docker-from-local.sh,
  databases.csv.tpl, Todo.md)
- Add Dockerfile to build the project image for local/E2E usage
- Update Makefile: build image and run E2E via external runner script
- Add scripts/test-e2e.sh:
  - start DinD + dedicated network
  - recreate DinD data volume (and shared /tmp volume)
  - pre-pull helper images (alpine-rsync, alpine)
  - load local baudolo:local image into DinD
  - run unittest E2E suite inside DinD and abort on first failure
  - on failure: dump host+DinD diagnostics and archive shared /tmp into artifacts/
- Add artifacts/ debug outputs produced by failing E2E runs (logs, events, tmp archive)

https://chatgpt.com/share/694ec23f-0794-800f-9a59-8365bc80f435

src/baudolo/configure/__main__.py

@@ -0,0 +1,50 @@
+import pandas as pd
+import argparse
+import os
+
+def check_and_add_entry(file_path, instance, database, username, password):
+    # Check if the file exists and is not empty
+    if os.path.exists(file_path) and os.path.getsize(file_path) > 0:
+        # Read the existing CSV file with header
+        df = pd.read_csv(file_path, sep=';')
+    else:
+        # Create a new DataFrame with columns if file does not exist
+        df = pd.DataFrame(columns=['instance', 'database', 'username', 'password'])
+
+    # Check if the entry exists and remove it
+    mask = (
+        (df['instance'] == instance) &
+        ((df['database'] == database) |
+        (((df['database'].isna()) | (df['database'] == '')) & (database == ''))) &
+        (df['username'] == username)
+    )
+
+    if not df[mask].empty:
+        print("Replacing existing entry.")
+        df = df[~mask]
+    else:
+        print("Adding new entry.")
+
+    # Create a new DataFrame for the new entry
+    new_entry = pd.DataFrame([{'instance': instance, 'database': database, 'username': username, 'password': password}])
+
+    # Add (or replace) the entry using concat
+    df = pd.concat([df, new_entry], ignore_index=True)
+
+    # Save the updated CSV file
+    df.to_csv(file_path, sep=';', index=False)
+
+def main():
+    parser = argparse.ArgumentParser(description="Check and replace (or add) a database entry in a CSV file.")
+    parser.add_argument("file_path", help="Path to the CSV file")
+    parser.add_argument("instance", help="Database instance")
+    parser.add_argument("database", help="Database name")
+    parser.add_argument("username", help="Username")
+    parser.add_argument("password", nargs='?', default="", help="Password (optional)")
+
+    args = parser.parse_args()
+
+    check_and_add_entry(args.file_path, args.instance, args.database, args.username, args.password)
+
+if __name__ == "__main__":
+    main()