Makes file with media manifest content IDs not in predicted catalog for MD5 checks.
Browse files- notebooks/ToL_media_mismatch.ipynb +303 -12
- notebooks/ToL_media_mismatch.py +60 -0
notebooks/ToL_media_mismatch.ipynb
CHANGED
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@@ -277,7 +277,7 @@
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},
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"Index(['treeoflife_id', 'eol_content_id', 'eol_page_id'], dtype='object')"
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]
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"execution_count":
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"dtype: int64"
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@@ -998,6 +998,297 @@
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"eol_df_missing_media.to_csv(\"../data/eol_files/eol_cp_not_media.csv\", index = False)"
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]
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},
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"Index(['treeoflife_id', 'eol_content_id', 'eol_page_id'], dtype='object')"
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]
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},
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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"execution_count": 7,
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"metadata": {},
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"outputs": [
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{
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"dtype: int64"
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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"execution_count": 8,
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"outputs": [
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {},
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"outputs": [],
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"source": [
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"cell_type": "code",
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"execution_count": 11,
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"metadata": {},
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"source": [
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"cell_type": "code",
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"execution_count": 12,
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"metadata": {},
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"outputs": [
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{
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"eol_df_missing_media.to_csv(\"../data/eol_files/eol_cp_not_media.csv\", index = False)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Get Content IDs in Media Manifest that didn't match \n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[22131926, 22291283, 21802775, 12784812, 29713643]"
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]
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},
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"execution_count": 13,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"content_ids_in_catalog = list(eol_df_media_cp.eol_content_id)\n",
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"content_ids_in_catalog[:5]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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| 1038 |
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"<class 'pandas.core.frame.DataFrame'>\n",
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| 1039 |
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"Index: 410321 entries, 65 to 6574223\n",
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"Data columns (total 6 columns):\n",
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| 1041 |
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" # Column Non-Null Count Dtype \n",
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"--- ------ -------------- ----- \n",
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| 1043 |
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" 0 eol_content_id 410321 non-null int64 \n",
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| 1044 |
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" 1 eol_page_id 410321 non-null int64 \n",
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| 1045 |
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" 2 Medium Source URL 410319 non-null object\n",
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| 1046 |
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" 3 EOL Full-Size Copy URL 410321 non-null object\n",
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| 1047 |
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" 4 License Name 410321 non-null object\n",
|
| 1048 |
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" 5 Copyright Owner 392753 non-null object\n",
|
| 1049 |
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"dtypes: int64(2), object(4)\n",
|
| 1050 |
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"memory usage: 21.9+ MB\n"
|
| 1051 |
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]
|
| 1052 |
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}
|
| 1053 |
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],
|
| 1054 |
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"source": [
|
| 1055 |
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"media_missing_tol = media.loc[~media.eol_content_id.isin(content_ids_in_catalog)]\n",
|
| 1056 |
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"media_missing_tol.info(show_counts = True)"
|
| 1057 |
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]
|
| 1058 |
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},
|
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{
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"cell_type": "code",
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"execution_count": 15,
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| 1062 |
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"metadata": {},
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| 1063 |
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"outputs": [],
|
| 1064 |
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"source": [
|
| 1065 |
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"# Save media manifest content IDs that didn't match to predicted-catalog\n",
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| 1066 |
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"media_missing_tol.to_csv(\"../data/eol_files/media_content_not_catalog.csv\", index = False)"
|
| 1067 |
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]
|
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},
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{
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"cell_type": "markdown",
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| 1071 |
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"metadata": {},
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| 1072 |
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"source": [
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| 1073 |
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"#### Compare to Dec 6 Media Manifest"
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| 1074 |
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]
|
| 1075 |
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},
|
| 1076 |
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{
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"cell_type": "code",
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"execution_count": 16,
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"metadata": {},
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"outputs": [
|
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{
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"name": "stdout",
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| 1083 |
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"output_type": "stream",
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"text": [
|
| 1085 |
+
"<class 'pandas.core.frame.DataFrame'>\n",
|
| 1086 |
+
"RangeIndex: 6576247 entries, 0 to 6576246\n",
|
| 1087 |
+
"Data columns (total 6 columns):\n",
|
| 1088 |
+
" # Column Non-Null Count Dtype \n",
|
| 1089 |
+
"--- ------ -------------- ----- \n",
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| 1090 |
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" 0 EOL content ID 6576247 non-null int64 \n",
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| 1091 |
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" 1 EOL page ID 6576247 non-null int64 \n",
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| 1092 |
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" 2 Medium Source URL 6576245 non-null object\n",
|
| 1093 |
+
" 3 EOL Full-Size Copy URL 6576247 non-null object\n",
|
| 1094 |
+
" 4 License Name 6576247 non-null object\n",
|
| 1095 |
+
" 5 Copyright Owner 5944184 non-null object\n",
|
| 1096 |
+
"dtypes: int64(2), object(4)\n",
|
| 1097 |
+
"memory usage: 301.0+ MB\n"
|
| 1098 |
+
]
|
| 1099 |
+
}
|
| 1100 |
+
],
|
| 1101 |
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"source": [
|
| 1102 |
+
"dec_media = pd.read_csv(\"../data/media_manifest_Dec6.csv\", dtype = {\"EOL content ID\": \"int64\", \"EOL page ID\": \"int64\"}, low_memory = False)\n",
|
| 1103 |
+
"dec_media.info(show_counts = True)"
|
| 1104 |
+
]
|
| 1105 |
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},
|
| 1106 |
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{
|
| 1107 |
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"cell_type": "markdown",
|
| 1108 |
+
"metadata": {},
|
| 1109 |
+
"source": [
|
| 1110 |
+
"Only about 2000 more images than July 26 media manifest."
|
| 1111 |
+
]
|
| 1112 |
+
},
|
| 1113 |
+
{
|
| 1114 |
+
"cell_type": "code",
|
| 1115 |
+
"execution_count": 17,
|
| 1116 |
+
"metadata": {},
|
| 1117 |
+
"outputs": [],
|
| 1118 |
+
"source": [
|
| 1119 |
+
"dec_media.rename(columns = {\"EOL content ID\": \"eol_content_id\", \"EOL page ID\": \"eol_page_id\"}, inplace = True)"
|
| 1120 |
+
]
|
| 1121 |
+
},
|
| 1122 |
+
{
|
| 1123 |
+
"cell_type": "code",
|
| 1124 |
+
"execution_count": 18,
|
| 1125 |
+
"metadata": {},
|
| 1126 |
+
"outputs": [
|
| 1127 |
+
{
|
| 1128 |
+
"name": "stdout",
|
| 1129 |
+
"output_type": "stream",
|
| 1130 |
+
"text": [
|
| 1131 |
+
"<class 'pandas.core.frame.DataFrame'>\n",
|
| 1132 |
+
"RangeIndex: 5796323 entries, 0 to 5796322\n",
|
| 1133 |
+
"Data columns (total 7 columns):\n",
|
| 1134 |
+
" # Column Non-Null Count Dtype \n",
|
| 1135 |
+
"--- ------ -------------- ----- \n",
|
| 1136 |
+
" 0 treeoflife_id 5796323 non-null object\n",
|
| 1137 |
+
" 1 eol_content_id 5796323 non-null int64 \n",
|
| 1138 |
+
" 2 eol_page_id 5796323 non-null int64 \n",
|
| 1139 |
+
" 3 Medium Source URL 5796323 non-null object\n",
|
| 1140 |
+
" 4 EOL Full-Size Copy URL 5796323 non-null object\n",
|
| 1141 |
+
" 5 License Name 5796323 non-null object\n",
|
| 1142 |
+
" 6 Copyright Owner 5189325 non-null object\n",
|
| 1143 |
+
"dtypes: int64(2), object(5)\n",
|
| 1144 |
+
"memory usage: 309.6+ MB\n"
|
| 1145 |
+
]
|
| 1146 |
+
}
|
| 1147 |
+
],
|
| 1148 |
+
"source": [
|
| 1149 |
+
"eol_dec_media_cp = pd.merge(eol_df, dec_media, how = \"inner\", left_on = merge_cols, right_on = merge_cols)\n",
|
| 1150 |
+
"eol_dec_media_cp.info(show_counts = True)"
|
| 1151 |
+
]
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"cell_type": "markdown",
|
| 1155 |
+
"metadata": {},
|
| 1156 |
+
"source": [
|
| 1157 |
+
"And we have _less_ matching....Let's compare this to the July 26 manifest and see if there are content IDs only in Dec that do match to predicted-catalog."
|
| 1158 |
+
]
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"cell_type": "code",
|
| 1162 |
+
"execution_count": 19,
|
| 1163 |
+
"metadata": {},
|
| 1164 |
+
"outputs": [
|
| 1165 |
+
{
|
| 1166 |
+
"name": "stdout",
|
| 1167 |
+
"output_type": "stream",
|
| 1168 |
+
"text": [
|
| 1169 |
+
"<class 'pandas.core.frame.DataFrame'>\n",
|
| 1170 |
+
"RangeIndex: 6021614 entries, 0 to 6021613\n",
|
| 1171 |
+
"Data columns (total 10 columns):\n",
|
| 1172 |
+
" # Column Non-Null Count Dtype \n",
|
| 1173 |
+
"--- ------ -------------- ----- \n",
|
| 1174 |
+
" 0 eol_content_id 6021614 non-null int64 \n",
|
| 1175 |
+
" 1 eol_page_id 6021614 non-null int64 \n",
|
| 1176 |
+
" 2 Medium Source URL_x 6021612 non-null object\n",
|
| 1177 |
+
" 3 EOL Full-Size Copy URL_x 6021614 non-null object\n",
|
| 1178 |
+
" 4 License Name_x 6021614 non-null object\n",
|
| 1179 |
+
" 5 Copyright Owner_x 5399986 non-null object\n",
|
| 1180 |
+
" 6 Medium Source URL_y 6021612 non-null object\n",
|
| 1181 |
+
" 7 EOL Full-Size Copy URL_y 6021614 non-null object\n",
|
| 1182 |
+
" 8 License Name_y 6021614 non-null object\n",
|
| 1183 |
+
" 9 Copyright Owner_y 5399986 non-null object\n",
|
| 1184 |
+
"dtypes: int64(2), object(8)\n",
|
| 1185 |
+
"memory usage: 459.4+ MB\n"
|
| 1186 |
+
]
|
| 1187 |
+
}
|
| 1188 |
+
],
|
| 1189 |
+
"source": [
|
| 1190 |
+
"media_merge = pd.merge(dec_media, media, how = \"inner\", left_on = merge_cols, right_on = merge_cols)\n",
|
| 1191 |
+
"media_merge.info(show_counts = True)"
|
| 1192 |
+
]
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"cell_type": "code",
|
| 1196 |
+
"execution_count": 20,
|
| 1197 |
+
"metadata": {},
|
| 1198 |
+
"outputs": [
|
| 1199 |
+
{
|
| 1200 |
+
"data": {
|
| 1201 |
+
"text/plain": [
|
| 1202 |
+
"[5470022, 5470023, 5470024, 5470025, 5470026]"
|
| 1203 |
+
]
|
| 1204 |
+
},
|
| 1205 |
+
"execution_count": 20,
|
| 1206 |
+
"metadata": {},
|
| 1207 |
+
"output_type": "execute_result"
|
| 1208 |
+
}
|
| 1209 |
+
],
|
| 1210 |
+
"source": [
|
| 1211 |
+
"content_ids_both_media = list(media_merge.eol_content_id)\n",
|
| 1212 |
+
"content_ids_both_media[:5]"
|
| 1213 |
+
]
|
| 1214 |
+
},
|
| 1215 |
+
{
|
| 1216 |
+
"cell_type": "code",
|
| 1217 |
+
"execution_count": 22,
|
| 1218 |
+
"metadata": {},
|
| 1219 |
+
"outputs": [
|
| 1220 |
+
{
|
| 1221 |
+
"name": "stdout",
|
| 1222 |
+
"output_type": "stream",
|
| 1223 |
+
"text": [
|
| 1224 |
+
"<class 'pandas.core.frame.DataFrame'>\n",
|
| 1225 |
+
"Index: 554633 entries, 6021614 to 6576246\n",
|
| 1226 |
+
"Data columns (total 6 columns):\n",
|
| 1227 |
+
" # Column Non-Null Count Dtype \n",
|
| 1228 |
+
"--- ------ -------------- ----- \n",
|
| 1229 |
+
" 0 eol_content_id 554633 non-null int64 \n",
|
| 1230 |
+
" 1 eol_page_id 554633 non-null int64 \n",
|
| 1231 |
+
" 2 Medium Source URL 554633 non-null object\n",
|
| 1232 |
+
" 3 EOL Full-Size Copy URL 554633 non-null object\n",
|
| 1233 |
+
" 4 License Name 554633 non-null object\n",
|
| 1234 |
+
" 5 Copyright Owner 544198 non-null object\n",
|
| 1235 |
+
"dtypes: int64(2), object(4)\n",
|
| 1236 |
+
"memory usage: 29.6+ MB\n"
|
| 1237 |
+
]
|
| 1238 |
+
}
|
| 1239 |
+
],
|
| 1240 |
+
"source": [
|
| 1241 |
+
"media_dec_notJuly = dec_media.loc[~dec_media.eol_content_id.isin(content_ids_both_media)]\n",
|
| 1242 |
+
"media_dec_notJuly.info(show_counts = True)"
|
| 1243 |
+
]
|
| 1244 |
+
},
|
| 1245 |
+
{
|
| 1246 |
+
"cell_type": "markdown",
|
| 1247 |
+
"metadata": {},
|
| 1248 |
+
"source": [
|
| 1249 |
+
"Let's see if any of these are in our predicted catalog."
|
| 1250 |
+
]
|
| 1251 |
+
},
|
| 1252 |
+
{
|
| 1253 |
+
"cell_type": "code",
|
| 1254 |
+
"execution_count": 23,
|
| 1255 |
+
"metadata": {},
|
| 1256 |
+
"outputs": [
|
| 1257 |
+
{
|
| 1258 |
+
"name": "stdout",
|
| 1259 |
+
"output_type": "stream",
|
| 1260 |
+
"text": [
|
| 1261 |
+
"<class 'pandas.core.frame.DataFrame'>\n",
|
| 1262 |
+
"RangeIndex: 0 entries\n",
|
| 1263 |
+
"Data columns (total 7 columns):\n",
|
| 1264 |
+
" # Column Non-Null Count Dtype \n",
|
| 1265 |
+
"--- ------ -------------- ----- \n",
|
| 1266 |
+
" 0 treeoflife_id 0 non-null object\n",
|
| 1267 |
+
" 1 eol_content_id 0 non-null int64 \n",
|
| 1268 |
+
" 2 eol_page_id 0 non-null int64 \n",
|
| 1269 |
+
" 3 Medium Source URL 0 non-null object\n",
|
| 1270 |
+
" 4 EOL Full-Size Copy URL 0 non-null object\n",
|
| 1271 |
+
" 5 License Name 0 non-null object\n",
|
| 1272 |
+
" 6 Copyright Owner 0 non-null object\n",
|
| 1273 |
+
"dtypes: int64(2), object(5)\n",
|
| 1274 |
+
"memory usage: 132.0+ bytes\n"
|
| 1275 |
+
]
|
| 1276 |
+
}
|
| 1277 |
+
],
|
| 1278 |
+
"source": [
|
| 1279 |
+
"eol_dec_only = pd.merge(eol_df, media_dec_notJuly, how = \"inner\", left_on = merge_cols, right_on = merge_cols)\n",
|
| 1280 |
+
"eol_dec_only.info(show_counts = True)"
|
| 1281 |
+
]
|
| 1282 |
+
},
|
| 1283 |
+
{
|
| 1284 |
+
"cell_type": "markdown",
|
| 1285 |
+
"metadata": {},
|
| 1286 |
+
"source": [
|
| 1287 |
+
"Okay, no matches here, so stick with July 26 file above, this doesn't help us recoup.\n",
|
| 1288 |
+
"\n",
|
| 1289 |
+
"Old media manifest (July 6) won't read EOL content and page IDs in properly, so can't check that against these."
|
| 1290 |
+
]
|
| 1291 |
+
},
|
| 1292 |
{
|
| 1293 |
"cell_type": "markdown",
|
| 1294 |
"metadata": {},
|
notebooks/ToL_media_mismatch.py
CHANGED
|
@@ -153,6 +153,66 @@ eol_df_missing_media.nunique()
|
|
| 153 |
# %%
|
| 154 |
eol_df_missing_media.to_csv("../data/eol_files/eol_cp_not_media.csv", index = False)
|
| 155 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 156 |
# %% [markdown]
|
| 157 |
# ### Check out the Duplication of Medium Source URLs
|
| 158 |
|
|
|
|
| 153 |
# %%
|
| 154 |
eol_df_missing_media.to_csv("../data/eol_files/eol_cp_not_media.csv", index = False)
|
| 155 |
|
| 156 |
+
# %% [markdown]
|
| 157 |
+
# ### Get Content IDs in Media Manifest that didn't match
|
| 158 |
+
#
|
| 159 |
+
|
| 160 |
+
# %%
|
| 161 |
+
content_ids_in_catalog = list(eol_df_media_cp.eol_content_id)
|
| 162 |
+
content_ids_in_catalog[:5]
|
| 163 |
+
|
| 164 |
+
# %%
|
| 165 |
+
media_missing_tol = media.loc[~media.eol_content_id.isin(content_ids_in_catalog)]
|
| 166 |
+
media_missing_tol.info(show_counts = True)
|
| 167 |
+
|
| 168 |
+
# %%
|
| 169 |
+
# Save media manifest content IDs that didn't match to predicted-catalog
|
| 170 |
+
media_missing_tol.to_csv("../data/eol_files/media_content_not_catalog.csv", index = False)
|
| 171 |
+
|
| 172 |
+
# %% [markdown]
|
| 173 |
+
# #### Compare to Dec 6 Media Manifest
|
| 174 |
+
|
| 175 |
+
# %%
|
| 176 |
+
dec_media = pd.read_csv("../data/media_manifest_Dec6.csv", dtype = {"EOL content ID": "int64", "EOL page ID": "int64"}, low_memory = False)
|
| 177 |
+
dec_media.info(show_counts = True)
|
| 178 |
+
|
| 179 |
+
# %% [markdown]
|
| 180 |
+
# Only about 2000 more images than July 26 media manifest.
|
| 181 |
+
|
| 182 |
+
# %%
|
| 183 |
+
dec_media.rename(columns = {"EOL content ID": "eol_content_id", "EOL page ID": "eol_page_id"}, inplace = True)
|
| 184 |
+
|
| 185 |
+
# %%
|
| 186 |
+
eol_dec_media_cp = pd.merge(eol_df, dec_media, how = "inner", left_on = merge_cols, right_on = merge_cols)
|
| 187 |
+
eol_dec_media_cp.info(show_counts = True)
|
| 188 |
+
|
| 189 |
+
# %% [markdown]
|
| 190 |
+
# And we have _less_ matching....Let's compare this to the July 26 manifest and see if there are content IDs only in Dec that do match to predicted-catalog.
|
| 191 |
+
|
| 192 |
+
# %%
|
| 193 |
+
media_merge = pd.merge(dec_media, media, how = "inner", left_on = merge_cols, right_on = merge_cols)
|
| 194 |
+
media_merge.info(show_counts = True)
|
| 195 |
+
|
| 196 |
+
# %%
|
| 197 |
+
content_ids_both_media = list(media_merge.eol_content_id)
|
| 198 |
+
content_ids_both_media[:5]
|
| 199 |
+
|
| 200 |
+
# %%
|
| 201 |
+
media_dec_notJuly = dec_media.loc[~dec_media.eol_content_id.isin(content_ids_both_media)]
|
| 202 |
+
media_dec_notJuly.info(show_counts = True)
|
| 203 |
+
|
| 204 |
+
# %% [markdown]
|
| 205 |
+
# Let's see if any of these are in our predicted catalog.
|
| 206 |
+
|
| 207 |
+
# %%
|
| 208 |
+
eol_dec_only = pd.merge(eol_df, media_dec_notJuly, how = "inner", left_on = merge_cols, right_on = merge_cols)
|
| 209 |
+
eol_dec_only.info(show_counts = True)
|
| 210 |
+
|
| 211 |
+
# %% [markdown]
|
| 212 |
+
# Okay, no matches here, so stick with July 26 file above, this doesn't help us recoup.
|
| 213 |
+
#
|
| 214 |
+
# Old media manifest (July 6) won't read EOL content and page IDs in properly, so can't check that against these.
|
| 215 |
+
|
| 216 |
# %% [markdown]
|
| 217 |
# ### Check out the Duplication of Medium Source URLs
|
| 218 |
|