From 1bd5156e064ce698850bc800be71fc16365cb92f Mon Sep 17 00:00:00 2001
From: Zargham <zargham@block.science>
Date: Mon, 22 Jul 2019 15:18:51 +0200
Subject: [PATCH] campaigns

---
 .../funding campaign demo-checkpoint.ipynb    |   6 +
 camp_logics.png                               | Bin 0 -> 20349 bytes
 funding campaign demo.ipynb                   | 266 ++++++++++++++++++
 3 files changed, 272 insertions(+)
 create mode 100644 .ipynb_checkpoints/funding campaign demo-checkpoint.ipynb
 create mode 100644 camp_logics.png
 create mode 100644 funding campaign demo.ipynb

diff --git a/.ipynb_checkpoints/funding campaign demo-checkpoint.ipynb b/.ipynb_checkpoints/funding campaign demo-checkpoint.ipynb
new file mode 100644
index 0000000..2fd6442
--- /dev/null
+++ b/.ipynb_checkpoints/funding campaign demo-checkpoint.ipynb	
@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/camp_logics.png b/camp_logics.png
new file mode 100644
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HcmV?d00001

diff --git a/funding campaign demo.ipynb b/funding campaign demo.ipynb
new file mode 100644
index 0000000..48d916a
--- /dev/null
+++ b/funding campaign demo.ipynb	
@@ -0,0 +1,266 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "from datetime import datetime, timedelta\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#campaigns\n",
+    "init_date = datetime.now()\n",
+    "\n",
+    "campaigns = {1:{'name': 'ABC field test', \n",
+    "                'min_raise': 984.0, \n",
+    "                'max_raise': 1500.0, \n",
+    "                'cutoff_date': init_date+timedelta(days=365*2/12.0),\n",
+    "                'expected_time': timedelta(days=365*8/12.0)},\n",
+    "             2:{'name': 'Giveth field test', \n",
+    "                'min_raise': 726.0, \n",
+    "                'max_raise': 1500.0, \n",
+    "                'cutoff_date': init_date+timedelta(days=365*4/12),\n",
+    "                'expected_time': timedelta(days=365*6/12.0)},\n",
+    "             3:{'name': 'CV field test', \n",
+    "                'min_raise': 1140.0, \n",
+    "                'max_raise': 2000.0, \n",
+    "                'cutoff_date': init_date+timedelta(days=365*6/12),\n",
+    "                'expected_time': timedelta(days=365*12/12)},\n",
+    "             4:{'name': 'Analytics', \n",
+    "                'min_raise': 780.0, \n",
+    "                'max_raise': 1500.0, \n",
+    "                'cutoff_date': init_date+timedelta(days=365*4/12.0),\n",
+    "                'expected_time': timedelta(days=365*16/12.0)},\n",
+    "             5:{'name': 'Mobile first', \n",
+    "                'min_raise': 1610.0, \n",
+    "                'max_raise': 2500.0, \n",
+    "                'cutoff_date': init_date+timedelta(days=365*8/12.0),\n",
+    "                'expected_time': timedelta(days=365*24/12.0)},\n",
+    "             6:{'name': 'Easy Deploy', \n",
+    "                'min_raise': 1500.0, \n",
+    "                'max_raise': 3000.0, \n",
+    "                'cutoff_date': init_date+timedelta(days=365*6/12.0),\n",
+    "                'expected_time': timedelta(days=365*30/12.0)},\n",
+    "    \n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{1: {'cutoff_date': datetime.datetime(2019, 9, 21, 7, 16, 2, 960914),\n",
+       "  'expected_time': datetime.timedelta(243, 28800),\n",
+       "  'max_raise': 1500.0,\n",
+       "  'min_raise': 984.0,\n",
+       "  'name': 'ABC field test'},\n",
+       " 2: {'cutoff_date': datetime.datetime(2019, 11, 21, 3, 16, 2, 960914),\n",
+       "  'expected_time': datetime.timedelta(182, 43200),\n",
+       "  'max_raise': 1500.0,\n",
+       "  'min_raise': 726.0,\n",
+       "  'name': 'Giveth field test'},\n",
+       " 3: {'cutoff_date': datetime.datetime(2020, 1, 20, 23, 16, 2, 960914),\n",
+       "  'expected_time': datetime.timedelta(365),\n",
+       "  'max_raise': 2000.0,\n",
+       "  'min_raise': 1140.0,\n",
+       "  'name': 'CV field test'},\n",
+       " 4: {'cutoff_date': datetime.datetime(2019, 11, 21, 3, 16, 2, 960914),\n",
+       "  'expected_time': datetime.timedelta(486, 57600),\n",
+       "  'max_raise': 1500.0,\n",
+       "  'min_raise': 780.0,\n",
+       "  'name': 'Analytics'},\n",
+       " 5: {'cutoff_date': datetime.datetime(2020, 3, 21, 19, 16, 2, 960914),\n",
+       "  'expected_time': datetime.timedelta(730),\n",
+       "  'max_raise': 2500.0,\n",
+       "  'min_raise': 1610.0,\n",
+       "  'name': 'Mobile first'},\n",
+       " 6: {'cutoff_date': datetime.datetime(2020, 1, 20, 23, 16, 2, 960914),\n",
+       "  'expected_time': datetime.timedelta(912, 43200),\n",
+       "  'max_raise': 3000.0,\n",
+       "  'min_raise': 1500.0,\n",
+       "  'name': 'Easy Deploy'}}"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "campaigns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "tranches = { tr:{'raised':0, 'status':'not_started'} for tr in range(2,7)}\n",
+    "tranches[1] = {'raised':0, 'status':'active'}\n",
+    "state = {'new_raised':0,'total_raised': 0, 'active_tranche':1,'tranches': tranches}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'active_tranche': 1,\n",
+       " 'new_raised': 0,\n",
+       " 'total_raised': 0,\n",
+       " 'tranches': {1: {'raised': 0, 'status': 'active'},\n",
+       "  2: {'raised': 0, 'status': 'not_started'},\n",
+       "  3: {'raised': 0, 'status': 'not_started'},\n",
+       "  4: {'raised': 0, 'status': 'not_started'},\n",
+       "  5: {'raised': 0, 'status': 'not_started'},\n",
+       "  6: {'raised': 0, 'status': 'not_started'}}}"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "state"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "T = 52*3\n",
+    "dt = timedelta(weeks =1)\n",
+    "\n",
+    "def gen_raise(thresh = .3, scale = 10):\n",
+    "    rv = np.random.rand()\n",
+    "    if rv < thresh:\n",
+    "        return 0\n",
+    "    else :\n",
+    "        return rv*scale"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<img src=\"camp_logics.png\">"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "  \n",
+    "def tranche_iter_logic(week, state):\n",
+    "    \n",
+    "    ct = state['active_tranche']\n",
+    "    \n",
+    "    ct_data = state['tranches'][ct]\n",
+    "    \n",
+    "    #is the deadline passed:\n",
+    "    if ct_data['raised'] > ct_data['max_raise']:\n",
+    "        \n",
+    "    \n",
+    "    elif week > campaigns[ct]['cutoff_date']:\n",
+    "    \n",
+    "    #is the cap reached\n",
+    "    elif \n",
+    "    \n",
+    "    \n",
+    "    \n",
+    "    return "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['active',\n",
+       " 'not_started',\n",
+       " 'not_started',\n",
+       " 'not_started',\n",
+       " 'not_started',\n",
+       " 'not_started']"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "tranch_status"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "states = [state]\n",
+    "for t in range(T):\n",
+    "    new_raise = gen_raise()\n",
+    "    state['new_raised'] = new_raise\n",
+    "    state['total_raised'] = state['total_raised'] + new_raise\n",
+    "    \n",
+    "    #\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.6.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}