From 9bf4b19787d552b846026ff53ce2b69c50002bad Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Simon=20W=C3=B6rpel?= <simon.woerpel@pm.me>
Date: Thu, 2 Nov 2023 14:40:06 +0100
Subject: [PATCH] Add credentials creation script

---
 .gitignore            |  3 ++
 generate_logins.ipynb | 93 +++++++++++++++++++++++++++++++++++++++++++
 2 files changed, 96 insertions(+)
 create mode 100644 generate_logins.ipynb

diff --git a/.gitignore b/.gitignore
index 4b8678c..7765207 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,3 +1,6 @@
+fs_logins.csv
+.htpasswd
+cache.db*
 farmsubsidy.duckdb
 data
 
diff --git a/generate_logins.ipynb b/generate_logins.ipynb
new file mode 100644
index 0000000..355bdd6
--- /dev/null
+++ b/generate_logins.ipynb
@@ -0,0 +1,93 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ab5ea961-0ab0-4cf5-bcb3-fc0c99af0055",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import shortuuid\n",
+    "import bcrypt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e9308c8d-4b57-4ca8-989d-f05fe3860ae3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "HTPASSWD = \".htpasswd\"\n",
+    "CLEARFILE = \"fs_logins.csv\"\n",
+    "PREFIX = \"farmsubsidy\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "acd0247c-afac-4de7-916d-e1efc9f3a9d0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def generate_logins(start, end, prefix):\n",
+    "    for i in range(start, end):\n",
+    "        pw = shortuuid.uuid()[:12]\n",
+    "        hashed = bcrypt.hashpw(pw.encode(), bcrypt.gensalt()).decode()\n",
+    "        yield f\"{prefix}-{str(i).zfill(4)}\", hashed, pw"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a018fa38-86b2-4397-b176-d72d039210c8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.DataFrame(generate_logins(0, 100, PREFIX), columns=(\"username\", \"hashed\", \"password\"))\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e64ac6f1-5148-472e-8824-0cc6644aa3b7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df[[\"username\", \"password\"]].to_csv(CLEARFILE, index=False)\n",
+    "df[[\"username\", \"hashed\"]].to_csv(HTPASSWD, index=False, header=False, sep=\":\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c49f125a-f41d-413a-8315-ad4d11d05164",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}