fix retrieving datetime from block number

app.py

@@ -300,11 +300,11 @@ with demo:
                 gr.Markdown("This app shows the actual performance of Olas Predict tools on the live market.")
 
 # Create the scheduler
-# scheduler = BackgroundScheduler(timezone=utc)
-# scheduler.add_job(refresh_data, CronTrigger(hour=0, minute=0))  # Runs daily at 12 AM UTC
-# scheduler.start()
 scheduler = BackgroundScheduler(timezone=utc)
-scheduler.add_job(refresh_data, CronTrigger(hour='*'))  # Runs every hour
+scheduler.add_job(refresh_data, CronTrigger(hour=0, minute=0))  # Runs daily at 12 AM UTC
 scheduler.start()
+# scheduler = BackgroundScheduler(timezone=utc)
+# scheduler.add_job(refresh_data, CronTrigger(hour='*'))  # Runs every hour
+# scheduler.start()
 
 demo.queue(default_concurrency_limit=40).launch()

data/all_trades_profitability.csv

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:673fa0489391d068d1e684dcb191adef3f538dd57619a9678109853c9299bf3e
-size 29110990
+oid sha256:9be735137cf340f2a0f70d9e16dc2ce525542ca1e8e7ddc94816a00422747eca
+size 29422789

data/delivers.csv

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d934330b4885b64e95a186dd7297ec038f17eb65f2b907c932cd8ec0fedbcc29
-size 1296906427
+oid sha256:83473ed761c4c1e7f690ec9dff3b8f3f718c2c55164def52272f468e7e41e29c
+size 1323718980

data/fpmmTrades.csv

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dbd2701ff46c796e550c98498094ad2fbd35c8009a269739e5b3e087e2a0bb2b
-size 64405282
+oid sha256:ee4e6bb1ec4a88ef52117d6a04e2153780f963a8f0015bf301cbe6cecc6f13f2
+size 64493356

data/fpmms.csv

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:41c68412d55769c3a7af556402a34213828f38db7b17e1ed2e08b1184e75d4aa
-size 403398
+oid sha256:66af13cbe6425b06d5d447cc79a6c5644d741159571af79f6aef20bd12d5b84c
+size 405879

data/requests.csv

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:111a5eff743b2c59d8e4d3999c5fab6ed77f48277af084c6b833129092db65b3
-size 129516034
+oid sha256:aa25a1bcada87e52cb770f7caed5a6715e89d9ba4042850ea16c666503eec3fb
+size 129974843

data/summary_profitability.csv

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8cd06f7bb27cf3d086973c0fb6a5cf9cfb28089276980f15f090c05e91f17959
-size 48401
+oid sha256:a156a40fdaf06095b36b3d077f84123a90b805231efbeed88482cb1355777daa
+size 48334

data/t_map.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:16ccd7e53595040b7f652be1f931d54e7e6602060f1c646fa580e979ad10b7cf
-size 5951715
+oid sha256:5c33f70ccf91f5a2e1ef20b1680adbaf0e679861f0a5f9bfcfe4fdf5e13a63ff
+size 5970680

data/tools.csv

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0aed624524cf7a8bf392a212f79ca422cdaeb66d3399415837ed35bd18a8dc67
-size 1411395869
+oid sha256:dea5cf32e831ec188b779aa562fa03a5ac103ea1796bf3b6ffa7700c9c008a49
+size 1436789739

nbs/test.ipynb

@@ -2,14 +2,14 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/var/folders/l_/g22b1g_n0gn4tmx9lkxqv5x00000gn/T/ipykernel_11113/116209265.py:5: DtypeWarning: Columns (7,10) have mixed types. Specify dtype option on import or set low_memory=False.\n",
+      "/var/folders/l_/g22b1g_n0gn4tmx9lkxqv5x00000gn/T/ipykernel_14130/269978020.py:6: DtypeWarning: Columns (7,10) have mixed types. Specify dtype option on import or set low_memory=False.\n",
       "  tools = pd.read_csv(\"../data/tools.csv\")\n"
      ]
     }
@@ -19,13 +19,28 @@
     "import pandas as pd\n",
     "from pathlib import Path\n",
     "\n",
-    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Make t_map"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "tools = pd.read_csv(\"../data/tools.csv\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -39,7 +54,7 @@
        "      dtype='object')"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -50,7 +65,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -64,12 +79,289 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
     "with open('../data/t_map.pkl', 'rb') as f:\n",
-    "    t_map = pickle.load(f)\n",
+    "    t_map = pickle.load(f)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Markets"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['id', 'currentAnswer', 'title'], dtype='object')"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fpmms = pd.read_csv(\"../data/fpmms.csv\")\n",
+    "fpmms.columns\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>currentAnswer</th>\n",
+       "      <th>title</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0x0020d13c89140b47e10db54cbd53852b90bc1391</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Will the Francis Scott Key Bridge in Baltimore...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0x003ae5e007cc38b3f86b0ed7c82f938a1285ac07</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Will FC Saarbrucken reach the final of the Ger...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0x004c8d4c619dc6b9caa940f5ea7ef699ae85359c</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Will the pro-life activists convicted for 'con...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0x0094fa304017d5c2b355790e2976f769ea600492</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Will the Hisense U8K be considered a top-tier ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0x00b03e86def06f5afb3b5219df72df758c96ec87</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Will the ChatGPT app for Android exceed 1 mill...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3020</th>\n",
+       "      <td>0xff866fd6092f8cc779fed6480e8a0a00740c4685</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Will Nvidia's market value exceed $2 trillion ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3021</th>\n",
+       "      <td>0xff8fedb76e6659f9da2505b28e86ea3a7db282e7</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Will UFC face a boycott due to its $100M Bud L...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3022</th>\n",
+       "      <td>0xff94627786768f5d94f7e5687de131b34c4b0c0d</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Will there be another volcanic eruption in Gri...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3023</th>\n",
+       "      <td>0xffd0b522ff00ffaec575cc628d1bb4ea37346fd7</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Will the manslaughter trial for James Crumbley...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3024</th>\n",
+       "      <td>0xffd6f34459ff26040e9cf1d9e4d9aaa7026a9683</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Will YouTube's subscribe button light up whene...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>3025 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                              id currentAnswer  \\\n",
+       "0     0x0020d13c89140b47e10db54cbd53852b90bc1391            No   \n",
+       "1     0x003ae5e007cc38b3f86b0ed7c82f938a1285ac07            No   \n",
+       "2     0x004c8d4c619dc6b9caa940f5ea7ef699ae85359c           Yes   \n",
+       "3     0x0094fa304017d5c2b355790e2976f769ea600492            No   \n",
+       "4     0x00b03e86def06f5afb3b5219df72df758c96ec87           Yes   \n",
+       "...                                          ...           ...   \n",
+       "3020  0xff866fd6092f8cc779fed6480e8a0a00740c4685           Yes   \n",
+       "3021  0xff8fedb76e6659f9da2505b28e86ea3a7db282e7           Yes   \n",
+       "3022  0xff94627786768f5d94f7e5687de131b34c4b0c0d           Yes   \n",
+       "3023  0xffd0b522ff00ffaec575cc628d1bb4ea37346fd7            No   \n",
+       "3024  0xffd6f34459ff26040e9cf1d9e4d9aaa7026a9683            No   \n",
+       "\n",
+       "                                                  title  \n",
+       "0     Will the Francis Scott Key Bridge in Baltimore...  \n",
+       "1     Will FC Saarbrucken reach the final of the Ger...  \n",
+       "2     Will the pro-life activists convicted for 'con...  \n",
+       "3     Will the Hisense U8K be considered a top-tier ...  \n",
+       "4     Will the ChatGPT app for Android exceed 1 mill...  \n",
+       "...                                                 ...  \n",
+       "3020  Will Nvidia's market value exceed $2 trillion ...  \n",
+       "3021  Will UFC face a boycott due to its $100M Bud L...  \n",
+       "3022  Will there be another volcanic eruption in Gri...  \n",
+       "3023  Will the manslaughter trial for James Crumbley...  \n",
+       "3024  Will YouTube's subscribe button light up whene...  \n",
+       "\n",
+       "[3025 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fpmms"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/l_/g22b1g_n0gn4tmx9lkxqv5x00000gn/T/ipykernel_14130/371090584.py:1: DtypeWarning: Columns (2) have mixed types. Specify dtype option on import or set low_memory=False.\n",
+      "  delivers = pd.read_csv(\"../data/delivers.csv\")\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "(262750, 12)"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "delivers = pd.read_csv(\"../data/delivers.csv\")\n",
+    "delivers.shape\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(244242, 6)"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "requests = pd.read_csv(\"../data/requests.csv\")\n",
+    "requests.columns\n",
+    "\n",
+    "requests.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(243228, 22)"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "tools.shape\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/l_/g22b1g_n0gn4tmx9lkxqv5x00000gn/T/ipykernel_14130/4197935432.py:1: DtypeWarning: Columns (7,10) have mixed types. Specify dtype option on import or set low_memory=False.\n",
+      "  tools = pd.read_csv(\"../data/tools.csv\")\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "Index(['request_id', 'request_block', 'prompt_request', 'tool', 'nonce',\n",
+       "       'trader_address', 'deliver_block', 'error', 'error_message',\n",
+       "       'prompt_response', 'mech_address', 'p_yes', 'p_no', 'confidence',\n",
+       "       'info_utility', 'vote', 'win_probability', 'title', 'currentAnswer',\n",
+       "       'request_time', 'request_month_year', 'request_month_year_week'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "tools = pd.read_csv(\"../data/tools.csv\")\n",
+    "tools.columns\n",
     "\n"
    ]
   },
@@ -81,1007 +373,7 @@
     {
      "data": {
       "text/plain": [
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-       " 29625975: '2023-08-24 18:05:35',\n",
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-       " 29626176: '2023-08-24 18:22:55',\n",
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-       " 29626217: '2023-08-24 18:26:35',\n",
-       " 29626221: '2023-08-24 18:27:00',\n",
-       " 29626255: '2023-08-24 18:29:55',\n",
-       " 29626292: '2023-08-24 18:33:00',\n",
-       " 29626303: '2023-08-24 18:33:55',\n",
-       " 29626334: '2023-08-24 18:36:45',\n",
-       " 29626336: '2023-08-24 18:36:55',\n",
-       " 29626355: '2023-08-24 18:38:40',\n",
-       " 29626403: '2023-08-24 18:42:50',\n",
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-       " 29626546: '2023-08-24 18:55:10',\n",
-       " 29626562: '2023-08-24 18:56:30',\n",
-       " 29626593: '2023-08-24 18:59:25',\n",
-       " 29626595: '2023-08-24 18:59:40',\n",
-       " 29626636: '2023-08-24 19:03:15',\n",
-       " 29626640: '2023-08-24 19:03:35',\n",
-       " 29626674: '2023-08-24 19:06:25',\n",
-       " 29626744: '2023-08-24 19:12:30',\n",
-       " 29626778: '2023-08-24 19:15:20',\n",
-       " 29626781: '2023-08-24 19:15:40',\n",
-       " 29626818: '2023-08-24 19:18:45',\n",
-       " 29626833: '2023-08-24 19:20:00',\n",
-       " 29626866: '2023-08-24 19:23:00',\n",
-       " 29626868: '2023-08-24 19:23:10',\n",
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-       " 29626911: '2023-08-24 19:26:55',\n",
-       " 29626940: '2023-08-24 19:29:25',\n",
-       " 29626942: '2023-08-24 19:29:35',\n",
-       " 29626988: '2023-08-24 19:33:30',\n",
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-       " 29627029: '2023-08-24 19:36:55',\n",
-       " 29627061: '2023-08-24 19:39:40',\n",
-       " 29627102: '2023-08-24 19:43:15',\n",
-       " 29627135: '2023-08-24 19:46:15',\n",
-       " 29627143: '2023-08-24 19:46:55',\n",
-       " 29627176: '2023-08-24 19:49:50',\n",
-       " 29627207: '2023-08-24 19:52:35',\n",
-       " 29627238: '2023-08-24 19:55:20',\n",
-       " 29627271: '2023-08-24 19:58:15',\n",
-       " 29627301: '2023-08-24 20:00:45',\n",
-       " 29627333: '2023-08-24 20:03:25',\n",
-       " 29627358: '2023-08-24 20:05:35',\n",
-       " 29627370: '2023-08-24 20:06:35',\n",
-       " 29627401: '2023-08-24 20:09:20',\n",
-       " 29627443: '2023-08-24 20:12:50',\n",
-       " 29627474: '2023-08-24 20:15:35',\n",
-       " 29627477: '2023-08-24 20:15:50',\n",
-       " 29627500: '2023-08-24 20:17:55',\n",
-       " 29627513: '2023-08-24 20:19:05',\n",
-       " 29627544: '2023-08-24 20:21:50',\n",
-       " 29627585: '2023-08-24 20:25:25',\n",
-       " 29627626: '2023-08-24 20:28:55',\n",
-       " 29627648: '2023-08-24 20:30:55',\n",
-       " 29627685: '2023-08-24 20:34:00',\n",
-       " 29627691: '2023-08-24 20:34:30',\n",
-       " 29627727: '2023-08-24 20:37:35',\n",
-       " 29627796: '2023-08-24 20:43:35',\n",
-       " 29627797: '2023-08-24 20:43:40',\n",
-       " 29627840: '2023-08-24 20:47:35',\n",
-       " 29627870: '2023-08-24 20:50:10',\n",
-       " 29627939: '2023-08-24 20:56:00',\n",
-       " 29627996: '2023-08-24 21:01:00',\n",
-       " 29627999: '2023-08-24 21:01:15',\n",
-       " 29628024: '2023-08-24 21:03:20',\n",
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-       " 29232208: '2023-07-31 20:05:05',\n",
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-       " 29235583: '2023-08-01 00:57:20',\n",
-       " 29235586: '2023-08-01 00:57:35',\n",
-       " 29235601: '2023-08-01 00:58:50',\n",
-       " 29235613: '2023-08-01 00:59:50',\n",
-       " 29235614: '2023-08-01 00:59:55',\n",
-       " 29235633: '2023-08-01 01:01:30',\n",
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-       " 29235680: '2023-08-01 01:05:35',\n",
-       " 29235700: '2023-08-01 01:07:20',\n",
-       " 29235750: '2023-08-01 01:11:40',\n",
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-       " 29235905: '2023-08-01 01:24:50',\n",
-       " 29235943: '2023-08-01 01:28:15',\n",
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-       " 29236093: '2023-08-01 01:41:05',\n",
-       " 29236099: '2023-08-01 01:41:40',\n",
-       " 29236116: '2023-08-01 01:43:10',\n",
-       " 29236126: '2023-08-01 01:44:00',\n",
-       " 29236128: '2023-08-01 01:44:10',\n",
-       " 29236148: '2023-08-01 01:45:50',\n",
-       " 29236151: '2023-08-01 01:46:05',\n",
-       " 29236159: '2023-08-01 01:46:50',\n",
-       " 29236175: '2023-08-01 01:48:10',\n",
-       " 29236193: '2023-08-01 01:50:00',\n",
-       " 29236195: '2023-08-01 01:50:10',\n",
-       " 29236208: '2023-08-01 01:51:15',\n",
-       " 29236220: '2023-08-01 01:52:15',\n",
-       " 29236227: '2023-08-01 01:52:50',\n",
-       " 29236244: '2023-08-01 01:54:20',\n",
-       " 29236254: '2023-08-01 01:55:10',\n",
-       " 29236259: '2023-08-01 01:55:40',\n",
-       " 29236277: '2023-08-01 01:57:10',\n",
-       " 29236279: '2023-08-01 01:57:20',\n",
-       " 29236291: '2023-08-01 01:58:20',\n",
-       " 29236309: '2023-08-01 01:59:50',\n",
-       " 29236310: '2023-08-01 01:59:55',\n",
-       " 29236327: '2023-08-01 02:01:30',\n",
-       " 29236329: '2023-08-01 02:01:40',\n",
-       " 29236338: '2023-08-01 02:02:30',\n",
-       " 29236355: '2023-08-01 02:03:55',\n",
-       " 29236383: '2023-08-01 02:06:30',\n",
-       " 29236412: '2023-08-01 02:09:00',\n",
-       " 29236458: '2023-08-01 02:12:50',\n",
-       " 29236492: '2023-08-01 02:15:45',\n",
-       " 29236538: '2023-08-01 02:19:35',\n",
-       " 29236610: '2023-08-01 02:25:40',\n",
-       " 29236622: '2023-08-01 02:26:45',\n",
-       " 29236661: '2023-08-01 02:30:05',\n",
-       " 29236682: '2023-08-01 02:31:50',\n",
-       " 29236789: '2023-08-01 02:41:10',\n",
-       " 29236804: '2023-08-01 02:42:25',\n",
-       " 29236812: '2023-08-01 02:43:05',\n",
-       " 29236830: '2023-08-01 02:44:45',\n",
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-       " 29236922: '2023-08-01 02:52:35',\n",
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-       " 29236944: '2023-08-01 02:54:35',\n",
-       " 29236953: '2023-08-01 02:55:20',\n",
-       " 29236967: '2023-08-01 02:56:45',\n",
-       " 29236971: '2023-08-01 02:57:05',\n",
-       " 29236987: '2023-08-01 02:58:25',\n",
-       " 29236992: '2023-08-01 02:58:50',\n",
-       " 29237005: '2023-08-01 02:59:55',\n",
-       " 29237019: '2023-08-01 03:01:10',\n",
-       " 29237022: '2023-08-01 03:01:25',\n",
-       " 29237042: '2023-08-01 03:03:05',\n",
-       " 29237045: '2023-08-01 03:03:20',\n",
-       " 29237054: '2023-08-01 03:04:10',\n",
-       " 29237071: '2023-08-01 03:05:35',\n",
-       " 29237087: '2023-08-01 03:07:10',\n",
-       " 29237127: '2023-08-01 03:10:35',\n",
-       " 29237166: '2023-08-01 03:13:55',\n",
-       " 29237198: '2023-08-01 03:16:40',\n",
-       " 29237247: '2023-08-01 03:20:45',\n",
-       " 29237330: '2023-08-01 03:28:00',\n",
-       " 29237332: '2023-08-01 03:28:10',\n",
-       " 29237418: '2023-08-01 03:35:25',\n",
-       " 29237518: '2023-08-01 03:43:50',\n",
-       " 29237602: '2023-08-01 03:51:05',\n",
-       " 29237690: '2023-08-01 03:58:30',\n",
-       " 29237776: '2023-08-01 04:05:55',\n",
-       " 29237860: '2023-08-01 04:13:20',\n",
-       " 29237944: '2023-08-01 04:20:45',\n",
-       " 29238027: '2023-08-01 04:28:10',\n",
-       " 29238111: '2023-08-01 04:35:35',\n",
-       " 29238193: '2023-08-01 04:42:55',\n",
-       " 29238275: '2023-08-01 04:50:15',\n",
-       " 29238359: '2023-08-01 04:57:40',\n",
-       " 29238448: '2023-08-01 05:05:05',\n",
-       " 29238535: '2023-08-01 05:12:30',\n",
-       " 29238620: '2023-08-01 05:19:55',\n",
-       " 29238706: '2023-08-01 05:27:25',\n",
-       " 29238794: '2023-08-01 05:34:55',\n",
-       " 29238879: '2023-08-01 05:42:15',\n",
-       " 29238967: '2023-08-01 05:49:40',\n",
-       " 29239052: '2023-08-01 05:57:05',\n",
-       " 29239136: '2023-08-01 06:04:05',\n",
-       " 29239223: '2023-08-01 06:11:30',\n",
-       " 29239305: '2023-08-01 06:18:55',\n",
-       " 29239390: '2023-08-01 06:26:20',\n",
-       " 29239469: '2023-08-01 06:33:40',\n",
-       " 29239554: '2023-08-01 06:41:00',\n",
-       " 29239832: '2023-08-01 07:05:10',\n",
-       " 29242515: '2023-08-01 10:58:05',\n",
-       " 29555470: '2023-08-20 12:41:30',\n",
-       " 29555477: '2023-08-20 12:42:05',\n",
-       " ...}"
+       "(244623, 22)"
       ]
      },
      "execution_count": 18,
@@ -1090,8 +382,7 @@
     }
    ],
    "source": [
-    "t_map\n",
-    "\n"
+    "tools.shape"
    ]
   },
   {

scripts/pull_data.py

@@ -19,7 +19,7 @@ from tools import (
     DEFAULT_FILENAME as TOOLS_FILENAME,
 )
 from profitability import run_profitability_analysis
-
+import gc
 
 logging.basicConfig(level=logging.INFO)
 
@@ -130,6 +130,13 @@ def weekly_analysis():
     with open(DATA_DIR / "t_map.pkl", "wb") as f:
         pickle.dump(t_map, f)
 
+
+    # clean and release all memory
+    del tools
+    del fpmms
+    del t_map
+    gc.collect()
+
     logging.info("Weekly analysis files generated and saved")