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Enable recursive Google Drive directory listing
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README.md
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@@ -32,7 +32,7 @@ docker build . -t ctp-slack-bot
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Run it with:
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```sh
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docker run --volume ./logs:/
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```
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### For Development
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Run it with:
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```sh
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docker run --volume ./logs:/data --env-file=.env -p 8000:8000 --name my-ctp-slack-bot-instance ctp-slack-bot
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```
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### For Development
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notebooks/google_drive_web_vtt_vectorizer_and_storer.ipynb
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"\u001b[32m2025-04-19 19:21:27.362\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.services.vectorization_service\u001b[0m:\u001b[36m__init__\u001b[0m:\u001b[36m22\u001b[0m - \u001b[34m\u001b[1mCreated VectorizationService\u001b[0m\n"
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"item_metadata = google_drive_service.list_directory(\"\")\n",
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| 547 |
]
|
| 548 |
},
|
| 549 |
"metadata": {},
|
|
|
|
| 16 |
"name": "stderr",
|
| 17 |
"output_type": "stream",
|
| 18 |
"text": [
|
| 19 |
+
"\u001b[32m2025-04-20 00:08:14.649\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.core.config\u001b[0m:\u001b[36m__init__\u001b[0m:\u001b[36m14\u001b[0m - \u001b[34m\u001b[1mCreated Settings\u001b[0m\n",
|
| 20 |
+
"\u001b[32m2025-04-20 00:08:14.652\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.services.google_drive_service\u001b[0m:\u001b[36m__init__\u001b[0m:\u001b[36m44\u001b[0m - \u001b[34m\u001b[1mCreated GoogleDriveService\u001b[0m\n",
|
| 21 |
+
"\u001b[32m2025-04-20 00:08:14.664\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.services.embeddings_model_service\u001b[0m:\u001b[36m__init__\u001b[0m:\u001b[36m22\u001b[0m - \u001b[34m\u001b[1mCreated EmbeddingsModelService\u001b[0m\n",
|
| 22 |
+
"\u001b[32m2025-04-20 00:08:14.664\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.services.vectorization_service\u001b[0m:\u001b[36m__init__\u001b[0m:\u001b[36m22\u001b[0m - \u001b[34m\u001b[1mCreated VectorizationService\u001b[0m\n"
|
|
|
|
| 23 |
]
|
| 24 |
},
|
| 25 |
{
|
| 26 |
"name": "stderr",
|
| 27 |
"output_type": "stream",
|
| 28 |
"text": [
|
| 29 |
+
"\u001b[32m2025-04-20 00:08:14.666\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36minit\u001b[0m:\u001b[36m175\u001b[0m - \u001b[1mInitializing MongoDB connection for database: ctp_slack_bot_dev\u001b[0m\n",
|
| 30 |
+
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|
| 31 |
+
"\u001b[32m2025-04-20 00:08:14.667\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36mconnect\u001b[0m:\u001b[36m32\u001b[0m - \u001b[34m\u001b[1mConnecting to MongoDB using URI: mongodb+srv://ctp-slack-bot.xkipuvm.mongodb.net/?retryWrites=true&w=majority&appName=ctp-slack-bot\u001b[0m\n",
|
| 32 |
+
"\u001b[32m2025-04-20 00:08:14.667\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36mconnect\u001b[0m:\u001b[36m49\u001b[0m - \u001b[34m\u001b[1mMongoDB client initialized for database: ctp_slack_bot_dev\u001b[0m\n",
|
| 33 |
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|
| 34 |
+
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|
| 35 |
+
"\u001b[32m2025-04-20 00:08:15.044\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.services.vector_database_service\u001b[0m:\u001b[36m__init__\u001b[0m:\u001b[36m21\u001b[0m - \u001b[34m\u001b[1mCreated VectorDatabaseService\u001b[0m\n"
|
| 36 |
]
|
| 37 |
}
|
| 38 |
],
|
|
|
|
| 67 |
},
|
| 68 |
{
|
| 69 |
"cell_type": "code",
|
| 70 |
+
"execution_count": 6,
|
| 71 |
"metadata": {},
|
| 72 |
"outputs": [],
|
| 73 |
"source": [
|
|
|
|
| 85 |
},
|
| 86 |
{
|
| 87 |
"cell_type": "code",
|
| 88 |
+
"execution_count": 7,
|
| 89 |
"metadata": {},
|
| 90 |
"outputs": [
|
| 91 |
{
|
| 92 |
"data": {
|
| 93 |
"text/html": [
|
| 94 |
+
"<p>Found 11 files/folders.</p>"
|
| 95 |
]
|
| 96 |
},
|
| 97 |
"metadata": {},
|
|
|
|
| 100 |
{
|
| 101 |
"data": {
|
| 102 |
"text/html": [
|
| 103 |
+
"<ul><li>/Friday Building AI Applications Session</li><li>/Friday Building AI Applications Session/GMT20250411-223535_Recording.transcript.vtt</li><li>/Friday Building AI Applications Session/GMT20250404-231749_Recording.transcript.vtt</li><li>/Friday Building AI Applications Session/GMT20250328-223256_Recording.transcript.vtt</li><li>/Friday Building AI Applications Session/GMT20250321-223330_Recording.transcript.vtt</li><li>/Friday Building AI Applications Session/GMT20250314-223145_Recording.transcript.vtt</li><li>/Friday Building AI Applications Session/GMT20250307-233135_Recording.transcript.vtt</li><li>/Friday Building AI Applications Session/GMT20250228-233632_Recording.transcript.vtt</li><li>/Friday Building AI Applications Session/GMT20250221-233332_Recording.transcript.vtt</li><li>/Friday Building AI Applications Session/GMT20250214-234809_Recording.transcript.vtt</li><li>/Friday Building AI Applications Session/GMT20250207-233258_Recording.transcript.vtt</li></ul>"
|
| 104 |
]
|
| 105 |
},
|
| 106 |
"metadata": {},
|
|
|
|
| 109 |
{
|
| 110 |
"data": {
|
| 111 |
"text/html": [
|
| 112 |
+
"<p>11 files/folders pass the modification time (<em>2024-08-30 00:00:00+00:00</em>) cut-off.</p>"
|
| 113 |
]
|
| 114 |
},
|
| 115 |
"metadata": {},
|
|
|
|
| 118 |
{
|
| 119 |
"data": {
|
| 120 |
"text/html": [
|
| 121 |
+
"<ul><li>/Friday Building AI Applications Session</li><li>/Friday Building AI Applications Session/GMT20250411-223535_Recording.transcript.vtt</li><li>/Friday Building AI Applications Session/GMT20250404-231749_Recording.transcript.vtt</li><li>/Friday Building AI Applications Session/GMT20250328-223256_Recording.transcript.vtt</li><li>/Friday Building AI Applications Session/GMT20250321-223330_Recording.transcript.vtt</li><li>/Friday Building AI Applications Session/GMT20250314-223145_Recording.transcript.vtt</li><li>/Friday Building AI Applications Session/GMT20250307-233135_Recording.transcript.vtt</li><li>/Friday Building AI Applications Session/GMT20250228-233632_Recording.transcript.vtt</li><li>/Friday Building AI Applications Session/GMT20250221-233332_Recording.transcript.vtt</li><li>/Friday Building AI Applications Session/GMT20250214-234809_Recording.transcript.vtt</li><li>/Friday Building AI Applications Session/GMT20250207-233258_Recording.transcript.vtt</li></ul>"
|
| 122 |
]
|
| 123 |
},
|
| 124 |
"metadata": {},
|
|
|
|
| 127 |
{
|
| 128 |
"data": {
|
| 129 |
"text/html": [
|
| 130 |
+
"<p>11 files/folders pass the modification time (<em>2024-08-30 00:00:00+00:00</em>) cut-off and MIME type (<em>text/vtt</em>) criterion.</p>"
|
| 131 |
]
|
| 132 |
},
|
| 133 |
"metadata": {},
|
|
|
|
| 136 |
{
|
| 137 |
"data": {
|
| 138 |
"text/html": [
|
| 139 |
+
"<ul><li>/Friday Building AI Applications Session/GMT20250411-223535_Recording.transcript.vtt</li><li>/Friday Building AI Applications Session/GMT20250404-231749_Recording.transcript.vtt</li><li>/Friday Building AI Applications Session/GMT20250328-223256_Recording.transcript.vtt</li><li>/Friday Building AI Applications Session/GMT20250321-223330_Recording.transcript.vtt</li><li>/Friday Building AI Applications Session/GMT20250314-223145_Recording.transcript.vtt</li><li>/Friday Building AI Applications Session/GMT20250307-233135_Recording.transcript.vtt</li><li>/Friday Building AI Applications Session/GMT20250228-233632_Recording.transcript.vtt</li><li>/Friday Building AI Applications Session/GMT20250221-233332_Recording.transcript.vtt</li><li>/Friday Building AI Applications Session/GMT20250214-234809_Recording.transcript.vtt</li><li>/Friday Building AI Applications Session/GMT20250207-233258_Recording.transcript.vtt</li></ul>"
|
| 140 |
]
|
| 141 |
},
|
| 142 |
"metadata": {},
|
|
|
|
| 144 |
}
|
| 145 |
],
|
| 146 |
"source": [
|
| 147 |
+
"item_metadata = google_drive_service.list_directory(\"\", True)\n",
|
| 148 |
"display_html(f\"<p>Found {len(item_metadata)} files/folders.</p>\")\n",
|
| 149 |
+
"display_html(\"\".join(chain(\"<ul>\", (f\"<li>{escape(metadata.folder_path)}/{escape(metadata.name)}</li>\" for metadata in item_metadata), \"</ul>\")))\n",
|
| 150 |
"\n",
|
| 151 |
"recent_metadata = tuple(filter(lambda metadata: MODIFICATION_TIME_CUTOFF <= metadata.modified_time, item_metadata))\n",
|
| 152 |
"display_html(f\"<p>{len(item_metadata)} files/folders pass the modification time (<em>{MODIFICATION_TIME_CUTOFF}</em>) cut-off.</p>\")\n",
|
| 153 |
+
"display_html(\"\".join(chain(\"<ul>\", (f\"<li>{escape(metadata.folder_path)}/{escape(metadata.name)}</li>\" for metadata in recent_metadata), \"</ul>\")))\n",
|
| 154 |
"\n",
|
| 155 |
"metadata_to_process = tuple(filter(lambda metadata: metadata.mime_type == MIME_TYPE, recent_metadata))\n",
|
| 156 |
"display_html(f\"<p>{len(item_metadata)} files/folders pass the modification time (<em>{MODIFICATION_TIME_CUTOFF}</em>) cut-off and MIME type (<em>{MIME_TYPE}</em>) criterion.</p>\")\n",
|
| 157 |
+
"display_html(\"\".join(chain(\"<ul>\", (f\"<li>{escape(metadata.folder_path)}/{escape(metadata.name)}</li>\" for metadata in metadata_to_process), \"</ul>\")))"
|
| 158 |
]
|
| 159 |
},
|
| 160 |
{
|
| 161 |
"cell_type": "code",
|
| 162 |
+
"execution_count": 8,
|
| 163 |
"metadata": {},
|
| 164 |
"outputs": [
|
| 165 |
{
|
| 166 |
"data": {
|
| 167 |
"text/html": [
|
| 168 |
+
"Processed 10 files."
|
| 169 |
]
|
| 170 |
},
|
| 171 |
"metadata": {},
|
|
|
|
| 188 |
},
|
| 189 |
{
|
| 190 |
"cell_type": "code",
|
| 191 |
+
"execution_count": 9,
|
| 192 |
"metadata": {},
|
| 193 |
"outputs": [
|
| 194 |
{
|
| 195 |
"data": {
|
| 196 |
"text/html": [
|
| 197 |
+
"Chunked GMT20250411-223535_Recording.transcript.vtt into 86 chunks."
|
| 198 |
]
|
| 199 |
},
|
| 200 |
"metadata": {},
|
|
|
|
| 204 |
"name": "stderr",
|
| 205 |
"output_type": "stream",
|
| 206 |
"text": [
|
| 207 |
+
"\u001b[32m2025-04-20 00:08:52.269\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.services.embeddings_model_service\u001b[0m:\u001b[36mget_embeddings\u001b[0m:\u001b[36m36\u001b[0m - \u001b[34m\u001b[1mCreating embeddings for 86 text string(s)…\u001b[0m\n"
|
| 208 |
]
|
| 209 |
},
|
| 210 |
{
|
| 211 |
"data": {
|
| 212 |
"text/html": [
|
| 213 |
+
"Vectorized GMT20250411-223535_Recording.transcript.vtt’s 86 chunks."
|
| 214 |
]
|
| 215 |
},
|
| 216 |
"metadata": {},
|
|
|
|
| 220 |
"name": "stderr",
|
| 221 |
"output_type": "stream",
|
| 222 |
"text": [
|
| 223 |
+
"\u001b[32m2025-04-20 00:08:54.190\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.services.vector_database_service\u001b[0m:\u001b[36mstore\u001b[0m:\u001b[36m38\u001b[0m - \u001b[34m\u001b[1mGetting vectors collection for storing 86 chunks\u001b[0m\n",
|
| 224 |
+
"\u001b[32m2025-04-20 00:08:54.216\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36mping\u001b[0m:\u001b[36m85\u001b[0m - \u001b[34m\u001b[1mMongoDB connection is active!\u001b[0m\n",
|
| 225 |
+
"\u001b[32m2025-04-20 00:08:54.217\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36mget_collection\u001b[0m:\u001b[36m106\u001b[0m - \u001b[34m\u001b[1mChecking if collection 'vectors' exists…\u001b[0m\n",
|
| 226 |
+
"\u001b[32m2025-04-20 00:08:54.240\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36mget_collection\u001b[0m:\u001b[36m110\u001b[0m - \u001b[1mCollection 'vectors' does not exist. Creating it…\u001b[0m\n",
|
| 227 |
+
"\u001b[32m2025-04-20 00:08:54.301\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36mget_collection\u001b[0m:\u001b[36m113\u001b[0m - \u001b[34m\u001b[1mSuccessfully created collection: vectors\u001b[0m\n",
|
| 228 |
+
"\u001b[32m2025-04-20 00:08:54.302\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.services.vector_database_service\u001b[0m:\u001b[36mstore\u001b[0m:\u001b[36m42\u001b[0m - \u001b[34m\u001b[1mCreating vector search index for vectors collection\u001b[0m\n",
|
| 229 |
+
"\u001b[32m2025-04-20 00:08:54.320\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36mping\u001b[0m:\u001b[36m85\u001b[0m - \u001b[34m\u001b[1mMongoDB connection is active!\u001b[0m\n",
|
| 230 |
+
"\u001b[32m2025-04-20 00:08:54.321\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36mget_collection\u001b[0m:\u001b[36m106\u001b[0m - \u001b[34m\u001b[1mChecking if collection 'vectors' exists…\u001b[0m\n",
|
| 231 |
+
"\u001b[32m2025-04-20 00:08:54.341\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36mget_collection\u001b[0m:\u001b[36m115\u001b[0m - \u001b[34m\u001b[1mCollection 'vectors' already exists!\u001b[0m\n",
|
| 232 |
+
"\u001b[32m2025-04-20 00:08:54.491\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36mcreate_indexes\u001b[0m:\u001b[36m153\u001b[0m - \u001b[1mVector search index 'vectors_vector_index' created for collection vectors.\u001b[0m\n",
|
| 233 |
+
"\u001b[32m2025-04-20 00:08:54.494\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.services.vector_database_service\u001b[0m:\u001b[36mstore\u001b[0m:\u001b[36m62\u001b[0m - \u001b[34m\u001b[1mInserting 86 documents into vectors collection\u001b[0m\n",
|
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"\u001b[32m2025-04-20 00:09:36.177\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36mget_collection\u001b[0m:\u001b[36m106\u001b[0m - \u001b[34m\u001b[1mChecking if collection 'vectors' exists…\u001b[0m\n",
|
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+
"\u001b[32m2025-04-20 00:09:36.198\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36mget_collection\u001b[0m:\u001b[36m115\u001b[0m - \u001b[34m\u001b[1mCollection 'vectors' already exists!\u001b[0m\n",
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| 589 |
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|
| 590 |
+
"\u001b[32m2025-04-20 00:09:36.316\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.services.vector_database_service\u001b[0m:\u001b[36mstore\u001b[0m:\u001b[36m62\u001b[0m - \u001b[34m\u001b[1mInserting 278 documents into vectors collection\u001b[0m\n",
|
| 591 |
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|
| 592 |
+
]
|
| 593 |
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},
|
| 594 |
+
{
|
| 595 |
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"data": {
|
| 596 |
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|
| 597 |
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|
| 598 |
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]
|
| 599 |
+
},
|
| 600 |
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"metadata": {},
|
| 601 |
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"output_type": "display_data"
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|
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"data": {
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|
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|
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|
| 610 |
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|
| 611 |
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|
| 612 |
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{
|
| 613 |
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"name": "stderr",
|
| 614 |
+
"output_type": "stream",
|
| 615 |
+
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|
| 616 |
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|
| 617 |
+
]
|
| 618 |
+
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|
| 619 |
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{
|
| 620 |
+
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|
| 621 |
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|
| 622 |
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|
| 623 |
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|
| 624 |
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|
| 625 |
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|
| 626 |
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|
| 627 |
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| 628 |
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{
|
| 629 |
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|
| 630 |
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"output_type": "stream",
|
| 631 |
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"text": [
|
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"\u001b[32m2025-04-20 00:09:40.479\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.services.vector_database_service\u001b[0m:\u001b[36mstore\u001b[0m:\u001b[36m38\u001b[0m - \u001b[34m\u001b[1mGetting vectors collection for storing 97 chunks\u001b[0m\n",
|
| 633 |
+
"\u001b[32m2025-04-20 00:09:40.499\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36mping\u001b[0m:\u001b[36m85\u001b[0m - \u001b[34m\u001b[1mMongoDB connection is active!\u001b[0m\n",
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+
"\u001b[32m2025-04-20 00:09:40.499\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36mget_collection\u001b[0m:\u001b[36m106\u001b[0m - \u001b[34m\u001b[1mChecking if collection 'vectors' exists…\u001b[0m\n",
|
| 635 |
+
"\u001b[32m2025-04-20 00:09:40.529\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36mget_collection\u001b[0m:\u001b[36m115\u001b[0m - \u001b[34m\u001b[1mCollection 'vectors' already exists!\u001b[0m\n",
|
| 636 |
+
"\u001b[32m2025-04-20 00:09:40.529\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.services.vector_database_service\u001b[0m:\u001b[36mstore\u001b[0m:\u001b[36m42\u001b[0m - \u001b[34m\u001b[1mCreating vector search index for vectors collection\u001b[0m\n",
|
| 637 |
+
"\u001b[32m2025-04-20 00:09:40.548\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36mping\u001b[0m:\u001b[36m85\u001b[0m - \u001b[34m\u001b[1mMongoDB connection is active!\u001b[0m\n",
|
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"\u001b[32m2025-04-20 00:09:40.548\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36mget_collection\u001b[0m:\u001b[36m106\u001b[0m - \u001b[34m\u001b[1mChecking if collection 'vectors' exists…\u001b[0m\n",
|
| 639 |
+
"\u001b[32m2025-04-20 00:09:40.568\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36mget_collection\u001b[0m:\u001b[36m115\u001b[0m - \u001b[34m\u001b[1mCollection 'vectors' already exists!\u001b[0m\n",
|
| 640 |
+
"\u001b[32m2025-04-20 00:09:40.678\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36mcreate_indexes\u001b[0m:\u001b[36m153\u001b[0m - \u001b[1mVector search index 'vectors_vector_index' created for collection vectors.\u001b[0m\n",
|
| 641 |
+
"\u001b[32m2025-04-20 00:09:40.679\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.services.vector_database_service\u001b[0m:\u001b[36mstore\u001b[0m:\u001b[36m62\u001b[0m - \u001b[34m\u001b[1mInserting 97 documents into vectors collection\u001b[0m\n",
|
| 642 |
+
"\u001b[32m2025-04-20 00:09:41.562\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mctp_slack_bot.services.vector_database_service\u001b[0m:\u001b[36mstore\u001b[0m:\u001b[36m64\u001b[0m - \u001b[1mStored 97 vector chunks in database\u001b[0m\n"
|
| 643 |
+
]
|
| 644 |
+
},
|
| 645 |
+
{
|
| 646 |
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"data": {
|
| 647 |
+
"text/html": [
|
| 648 |
+
"Stored GMT20250214-234809_Recording.transcript.vtt’s 97 vectorized chunks to the database."
|
| 649 |
+
]
|
| 650 |
+
},
|
| 651 |
+
"metadata": {},
|
| 652 |
+
"output_type": "display_data"
|
| 653 |
+
},
|
| 654 |
+
{
|
| 655 |
+
"data": {
|
| 656 |
+
"text/html": [
|
| 657 |
+
"Chunked GMT20250207-233258_Recording.transcript.vtt into 209 chunks."
|
| 658 |
+
]
|
| 659 |
+
},
|
| 660 |
+
"metadata": {},
|
| 661 |
+
"output_type": "display_data"
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"name": "stderr",
|
| 665 |
+
"output_type": "stream",
|
| 666 |
+
"text": [
|
| 667 |
+
"\u001b[32m2025-04-20 00:09:41.565\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.services.embeddings_model_service\u001b[0m:\u001b[36mget_embeddings\u001b[0m:\u001b[36m36\u001b[0m - \u001b[34m\u001b[1mCreating embeddings for 209 text string(s)…\u001b[0m\n"
|
| 668 |
+
]
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"data": {
|
| 672 |
+
"text/html": [
|
| 673 |
+
"Vectorized GMT20250207-233258_Recording.transcript.vtt’s 209 chunks."
|
| 674 |
+
]
|
| 675 |
+
},
|
| 676 |
+
"metadata": {},
|
| 677 |
+
"output_type": "display_data"
|
| 678 |
+
},
|
| 679 |
+
{
|
| 680 |
+
"name": "stderr",
|
| 681 |
+
"output_type": "stream",
|
| 682 |
+
"text": [
|
| 683 |
+
"\u001b[32m2025-04-20 00:09:44.152\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.services.vector_database_service\u001b[0m:\u001b[36mstore\u001b[0m:\u001b[36m38\u001b[0m - \u001b[34m\u001b[1mGetting vectors collection for storing 209 chunks\u001b[0m\n",
|
| 684 |
+
"\u001b[32m2025-04-20 00:09:44.178\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36mping\u001b[0m:\u001b[36m85\u001b[0m - \u001b[34m\u001b[1mMongoDB connection is active!\u001b[0m\n",
|
| 685 |
+
"\u001b[32m2025-04-20 00:09:44.178\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36mget_collection\u001b[0m:\u001b[36m106\u001b[0m - \u001b[34m\u001b[1mChecking if collection 'vectors' exists…\u001b[0m\n",
|
| 686 |
+
"\u001b[32m2025-04-20 00:09:44.197\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36mget_collection\u001b[0m:\u001b[36m115\u001b[0m - \u001b[34m\u001b[1mCollection 'vectors' already exists!\u001b[0m\n",
|
| 687 |
+
"\u001b[32m2025-04-20 00:09:44.198\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.services.vector_database_service\u001b[0m:\u001b[36mstore\u001b[0m:\u001b[36m42\u001b[0m - \u001b[34m\u001b[1mCreating vector search index for vectors collection\u001b[0m\n",
|
| 688 |
+
"\u001b[32m2025-04-20 00:09:44.221\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36mping\u001b[0m:\u001b[36m85\u001b[0m - \u001b[34m\u001b[1mMongoDB connection is active!\u001b[0m\n",
|
| 689 |
+
"\u001b[32m2025-04-20 00:09:44.222\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36mget_collection\u001b[0m:\u001b[36m106\u001b[0m - \u001b[34m\u001b[1mChecking if collection 'vectors' exists…\u001b[0m\n",
|
| 690 |
+
"\u001b[32m2025-04-20 00:09:44.247\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36mget_collection\u001b[0m:\u001b[36m115\u001b[0m - \u001b[34m\u001b[1mCollection 'vectors' already exists!\u001b[0m\n",
|
| 691 |
+
"\u001b[32m2025-04-20 00:09:44.390\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mctp_slack_bot.db.mongo_db\u001b[0m:\u001b[36mcreate_indexes\u001b[0m:\u001b[36m153\u001b[0m - \u001b[1mVector search index 'vectors_vector_index' created for collection vectors.\u001b[0m\n",
|
| 692 |
+
"\u001b[32m2025-04-20 00:09:44.391\u001b[0m | \u001b[34m\u001b[1mDEBUG \u001b[0m | \u001b[36mctp_slack_bot.services.vector_database_service\u001b[0m:\u001b[36mstore\u001b[0m:\u001b[36m62\u001b[0m - \u001b[34m\u001b[1mInserting 209 documents into vectors collection\u001b[0m\n",
|
| 693 |
+
"\u001b[32m2025-04-20 00:09:46.410\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mctp_slack_bot.services.vector_database_service\u001b[0m:\u001b[36mstore\u001b[0m:\u001b[36m64\u001b[0m - \u001b[1mStored 209 vector chunks in database\u001b[0m\n"
|
| 694 |
+
]
|
| 695 |
+
},
|
| 696 |
+
{
|
| 697 |
+
"data": {
|
| 698 |
+
"text/html": [
|
| 699 |
+
"Stored GMT20250207-233258_Recording.transcript.vtt’s 209 vectorized chunks to the database."
|
| 700 |
]
|
| 701 |
},
|
| 702 |
"metadata": {},
|
src/ctp_slack_bot/core/logging.py
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
from logging import __file__ as logging_file, basicConfig, currentframe, getLogger, Handler, INFO, LogRecord, WARNING
|
| 2 |
from loguru import logger
|
| 3 |
-
from os import getenv
|
| 4 |
from sys import stderr
|
| 5 |
from typing import Self
|
| 6 |
|
|
@@ -75,16 +75,19 @@ def setup_logging() -> None:
|
|
| 75 |
)
|
| 76 |
|
| 77 |
# Add file handler for non-DEBUG environments.
|
| 78 |
-
|
| 79 |
-
|
| 80 |
-
|
| 81 |
-
|
| 82 |
-
|
| 83 |
-
|
| 84 |
-
|
| 85 |
-
|
| 86 |
-
|
| 87 |
-
|
|
|
|
|
|
|
|
|
|
| 88 |
|
| 89 |
# Intercept standard logging messages.
|
| 90 |
basicConfig(handlers=[InterceptHandler()], level=0, force=True)
|
|
|
|
| 1 |
from logging import __file__ as logging_file, basicConfig, currentframe, getLogger, Handler, INFO, LogRecord, WARNING
|
| 2 |
from loguru import logger
|
| 3 |
+
from os import access, getenv, W_OK
|
| 4 |
from sys import stderr
|
| 5 |
from typing import Self
|
| 6 |
|
|
|
|
| 75 |
)
|
| 76 |
|
| 77 |
# Add file handler for non-DEBUG environments.
|
| 78 |
+
if log_level != "DEBUG":
|
| 79 |
+
if access('/data', W_OK):
|
| 80 |
+
logger.add(
|
| 81 |
+
"/data/app.log",
|
| 82 |
+
rotation="10 MB",
|
| 83 |
+
retention="1 week",
|
| 84 |
+
compression="zip",
|
| 85 |
+
format=format_string,
|
| 86 |
+
level=log_level,
|
| 87 |
+
serialize=(log_format == "json"),
|
| 88 |
+
)
|
| 89 |
+
else:
|
| 90 |
+
logger.warning("The log directory (/data) is not writable!")
|
| 91 |
|
| 92 |
# Intercept standard logging messages.
|
| 93 |
basicConfig(handlers=[InterceptHandler()], level=0, force=True)
|
src/ctp_slack_bot/services/google_drive_service.py
CHANGED
|
@@ -1,13 +1,15 @@
|
|
| 1 |
from datetime import datetime
|
| 2 |
from cachetools import TTLCache
|
|
|
|
| 3 |
from google.oauth2 import service_account
|
| 4 |
from googleapiclient.discovery import build
|
| 5 |
from googleapiclient.http import MediaIoBaseDownload
|
| 6 |
from googleapiclient.errors import HttpError
|
| 7 |
from io import BytesIO
|
|
|
|
| 8 |
from loguru import logger
|
| 9 |
from pydantic import BaseModel, PrivateAttr
|
| 10 |
-
from typing import Collection,
|
| 11 |
|
| 12 |
from ctp_slack_bot.core import Settings
|
| 13 |
from ctp_slack_bot.models import GoogleDriveMetadata
|
|
@@ -72,28 +74,37 @@ class GoogleDriveService(BaseModel):
|
|
| 72 |
self._folder_cache[folder_path] = current_id
|
| 73 |
return current_id
|
| 74 |
|
| 75 |
-
def
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 76 |
"""List contents of a directory with basic metadata."""
|
| 77 |
|
| 78 |
folder_id = self._resolve_folder_id(folder_path)
|
| 79 |
if not folder_id:
|
| 80 |
logger.debug("Folder not found by path: {}", folder_path)
|
| 81 |
return ()
|
| 82 |
-
|
| 83 |
-
try:
|
| 84 |
-
results = self._google_drive_client.files().list(
|
| 85 |
-
q=f"'{folder_id}' in parents",
|
| 86 |
-
fields="files(id,name,mimeType,modifiedTime)",
|
| 87 |
-
supportsAllDrives=True,
|
| 88 |
-
includeItemsFromAllDrives=True,
|
| 89 |
-
pageSize=1000
|
| 90 |
-
).execute()
|
| 91 |
-
return tuple(GoogleDriveMetadata.from_folder_path_and_dict(folder_path, result)
|
| 92 |
-
for result
|
| 93 |
-
in results.get('files', ()))
|
| 94 |
-
except HttpError as e:
|
| 95 |
-
logger.error("Error listing folder by path, {}: {}", folder_path, e)
|
| 96 |
-
return ()
|
| 97 |
|
| 98 |
def get_metadata(self: Self, item_path: str) -> Optional[GoogleDriveMetadata]:
|
| 99 |
"""Get metadata for a specific file/folder by path."""
|
|
|
|
| 1 |
from datetime import datetime
|
| 2 |
from cachetools import TTLCache
|
| 3 |
+
from functools import reduce
|
| 4 |
from google.oauth2 import service_account
|
| 5 |
from googleapiclient.discovery import build
|
| 6 |
from googleapiclient.http import MediaIoBaseDownload
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| 7 |
from googleapiclient.errors import HttpError
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| 8 |
from io import BytesIO
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| 9 |
+
from itertools import chain
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| 10 |
from loguru import logger
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| 11 |
from pydantic import BaseModel, PrivateAttr
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| 12 |
+
from typing import Collection, Optional, Self
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| 13 |
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| 14 |
from ctp_slack_bot.core import Settings
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| 15 |
from ctp_slack_bot.models import GoogleDriveMetadata
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| 74 |
self._folder_cache[folder_path] = current_id
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| 75 |
return current_id
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| 76 |
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| 77 |
+
def _list_directory(self: Self, folder_path: str, folder_id: str, recursive: bool = False) -> Collection[GoogleDriveMetadata]:
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| 78 |
+
try:
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| 79 |
+
results = tuple(GoogleDriveMetadata.from_folder_path_and_dict(folder_path, result)
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| 80 |
+
for result
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| 81 |
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in self._google_drive_client.files().list(
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| 82 |
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q=f"'{folder_id}' in parents",
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| 83 |
+
fields="files(id,name,mimeType,modifiedTime)",
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| 84 |
+
supportsAllDrives=True,
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| 85 |
+
includeItemsFromAllDrives=True,
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| 86 |
+
pageSize=1000
|
| 87 |
+
).execute().get('files', ()))
|
| 88 |
+
if not recursive:
|
| 89 |
+
return results
|
| 90 |
+
return tuple(reduce(chain,
|
| 91 |
+
(self._list_directory(f"{folder_path}{PATH_SEPARATOR}{result.name}", result.id, True)
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| 92 |
+
for result
|
| 93 |
+
in results
|
| 94 |
+
if result.mime_type == FOLDER_MIME_TYPE),
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| 95 |
+
results))
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| 96 |
+
except HttpError as e:
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| 97 |
+
logger.error("Error listing folder by path, {}: {}", folder_path, e)
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| 98 |
+
return ()
|
| 99 |
+
|
| 100 |
+
def list_directory(self: Self, folder_path: str, recursive: bool = False) -> Collection[GoogleDriveMetadata]:
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| 101 |
"""List contents of a directory with basic metadata."""
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| 102 |
|
| 103 |
folder_id = self._resolve_folder_id(folder_path)
|
| 104 |
if not folder_id:
|
| 105 |
logger.debug("Folder not found by path: {}", folder_path)
|
| 106 |
return ()
|
| 107 |
+
return self._list_directory(folder_path, folder_id, recursive)
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|
| 108 |
|
| 109 |
def get_metadata(self: Self, item_path: str) -> Optional[GoogleDriveMetadata]:
|
| 110 |
"""Get metadata for a specific file/folder by path."""
|