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Per-user metadata TSV — auto-prefer ~/cupido_metadata.tsv if present

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The shared TSV at /mnt/data/projects/cupido/ is read-only inside the
container, so users who want to customize the `include` column (or any
metadata) need a personal copy. Notebooks now check for
~/cupido_metadata.tsv first and fall back to the shared master if it
doesn't exist. Each user keeps their own edits without stepping on
anyone else's analysis.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
Giorgio Gilestro 2026-05-01 09:25:24 +01:00
parent 23050360ea
commit f08e4b843d
6 changed files with 17 additions and 14 deletions
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2
notebooks/getting_started/01_python_pandas_basics.ipynb
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@ -257,7 +257,7 @@
"metadata": {},
"execution_count": null,
"outputs": [],
"source": "import pandas as pd\nfrom pathlib import Path\n\n# All the project's bulky data lives under /mnt/data/projects/cupido/.\n# This pattern — define one DATA_DIR variable, then build sub-paths from\n# it — is much easier to read (and to update) than hard-coding long\n# strings everywhere.\nDATA_DIR = Path(\"/mnt/data/projects/cupido\")\ntsv_path = DATA_DIR / \"all_video_info_merged.tsv\"\n\n# Read the project's metadata TSV (Tab-Separated Values).\ndf = pd.read_csv(tsv_path, sep=\"\\t\")\n\n# How big is it?\nprint(f\"Rows: {len(df)}\")\nprint(f\"Columns: {df.shape[1]}\")\n"
"source": "import pandas as pd\nfrom pathlib import Path\n\n# All the project's bulky data lives under /mnt/data/projects/cupido/.\n# Defining one DATA_DIR variable and building sub-paths from it is much\n# easier to read (and to update) than hard-coding long strings everywhere.\nDATA_DIR = Path(\"/mnt/data/projects/cupido\")\n\n# Pick the metadata TSV: prefer your personal copy if you have one,\n# otherwise fall back to the shared (read-only) master. To make a\n# personal copy you can edit, run ONCE in a terminal:\n# cp /mnt/data/projects/cupido/all_video_info_merged.tsv ~/cupido_metadata.tsv\nSHARED_TSV = DATA_DIR / \"all_video_info_merged.tsv\"\nPERSONAL_TSV = Path.home() / \"cupido_metadata.tsv\"\ntsv_path = PERSONAL_TSV if PERSONAL_TSV.exists() else SHARED_TSV\n\n# Read the project's metadata TSV (Tab-Separated Values).\ndf = pd.read_csv(tsv_path, sep=\"\\t\")\n\n# How big is it?\nprint(f\"Reading from: {tsv_path}\")\nprint(f\"Rows: {len(df)}\")\nprint(f\"Columns: {df.shape[1]}\")\n"
},
{
"cell_type": "markdown",