From f1e6b837c2851f3ca9c85caab02e48c5f639e09f Mon Sep 17 00:00:00 2001
From: cmhosale <charles.m.hosale@gmail.com>
Date: Tue, 12 May 2026 14:38:35 -0500
Subject: [PATCH 01/14] updated is_normalized_file and preservation_level to
 account for submission and dissemination data

---
 notebook.py | 16 +++++++++++++---
 1 file changed, 13 insertions(+), 3 deletions(-)

diff --git a/notebook.py b/notebook.py
index 5d98e61..fb340e9 100644
--- a/notebook.py
+++ b/notebook.py
@@ -11,7 +11,7 @@
 
 import marimo
 
-__generated_with = "0.23.5"
+__generated_with = "0.23.6"
 app = marimo.App(width="medium")
 
 
@@ -269,7 +269,15 @@ def preservation_level(dataframe: pd.DataFrame) -> pd.DataFrame:
                             dataframe["bucket"].str.contains("5b")
                             | dataframe["bucket"].str.contains("5a"),
                             "Level 5",
-                            "ERROR",
+                            np.where(
+                                dataframe["bucket"].str.contains("dissemination"),
+                                "Level 0",
+                                np.where(
+                                    dataframe["bucket"].str.contains("submission"),
+                                    "Backlog",
+                                    "ERROR",
+                                ),
+                            ),
                         ),
                     ),
                 ),
@@ -327,7 +335,9 @@ def is_normalized_file(dataframe: pd.DataFrame) -> pd.DataFrame:
                     (dataframe["is_digitized_AIP"] == "Digitized")
                     & (dataframe.file.str.contains(".pdf")),
                     True,
-                    False,
+                    np.where(
+                        dataframe["bucket"].str.contains("dissemination"), True, False
+                    ),
                 ),
             ),
         )

From 1339e00545874e559e639018f362b9547e58b33b Mon Sep 17 00:00:00 2001
From: cmhosale <charles.m.hosale@gmail.com>
Date: Tue, 12 May 2026 15:50:39 -0500
Subject: [PATCH 02/14] added is_aip and used it to update AIP stats for single
 dates

---
 notebook.py | 49 ++++++++++++++++++++++++++++++++++++-------------
 1 file changed, 36 insertions(+), 13 deletions(-)

diff --git a/notebook.py b/notebook.py
index fb340e9..2096d4a 100644
--- a/notebook.py
+++ b/notebook.py
@@ -201,6 +201,7 @@ def transform_cdps_data(dataframe: pd.DataFrame) -> pd.DataFrame:
             .pipe(is_digitized_aip)
             .pipe(is_replica)
             .pipe(is_normalized_file)
+            .pipe(is_aip)
             .pipe(set_status)
             .pipe(is_av_image)
         )
@@ -343,15 +344,26 @@ def is_normalized_file(dataframe: pd.DataFrame) -> pd.DataFrame:
         )
         return dataframe
 
+    def is_aip(dataframe: pd.DataFrame) -> pd.DataFrame:
+        """Identifies files in AIP packages"""
+        dataframe.loc[:, "is_aip"] = np.where(
+            dataframe["bucket"].str.contains("aipstore"), True, False
+        )
+        return dataframe
+
     def set_status(dataframe: pd.DataFrame) -> pd.DataFrame:
         """Adds a status based on CDPS content categories."""
         dataframe.loc[:, "status"] = np.where(
             dataframe["is_replica"],
             "replica",
             np.where(
-                dataframe["is_normalized_file"],
-                "normalized/access",
-                np.where(dataframe["is_metadata"], "metadata", "original content"),
+                dataframe["is_metadata"],
+                "metadata",
+                np.where(
+                    dataframe["is_normalized_file"],
+                    "normalized/access",
+                    "original content",
+                ),
             ),
         )
         return dataframe
@@ -820,20 +832,19 @@ def _(cdps_df, convert_size, mo):
     # AIPs
 
     # Data views generated from filtered dataframes
-    total_aip_count = {"Total AIP count": cdps_df["uuid"].nunique()}
+    aip_df = cdps_df[cdps_df["is_aip"] == True]
+
+    total_aip_count = {"Total AIP count": aip_df["uuid"].nunique()}
 
     aip_count_by_bucket_data = (
-        cdps_df.groupby(["bucket"])["uuid"]
+        aip_df.groupby(["bucket"])["uuid"]
         .nunique()
         .sort_values(ascending=False)
         .reset_index()
     )
 
     aips_by_size_data = (
-        cdps_df.groupby("bagname")["size"]
-        .sum()
-        .sort_values(ascending=False)
-        .reset_index()
+        aip_df.groupby("bagname")["size"].sum().sort_values(ascending=False).reset_index()
     )
     largest_aip_by_size_data = {
         "Largest AIP by storage size": aips_by_size_data.loc[0].bagname,
@@ -841,7 +852,7 @@ def _(cdps_df, convert_size, mo):
     }
 
     aips_by_file_count_data = (
-        cdps_df.groupby("bagname")["size"]
+        aip_df.groupby("bagname")["size"]
         .count()
         .sort_values(ascending=False)
         .to_frame("file_count")
@@ -1077,8 +1088,8 @@ def _(cdps_df, convert_size, go, mo):
     return (original_files_display,)
 
 
-@app.cell
-def _(cdps_df, convert_size, mo):
+app._unparsable_cell(
+    r"""
     # Summary stats
 
     total_files = mo.stat(
@@ -1091,9 +1102,16 @@ def _(cdps_df, convert_size, mo):
         value=f"{convert_size(cdps_df["size"].sum())}",
     )
 
+    preserved_files = mo.stat(
+        lable ="Preserved files",
+        value=
+    )
+
     # Organizes the summary stats horizontally
     current_summary = mo.hstack([total_files, total_storage], widths="equal", gap=1)
-    return (current_summary,)
+    """,
+    name="_",
+)
 
 
 @app.cell(hide_code=True)
@@ -1159,6 +1177,11 @@ def _(
     return
 
 
+@app.cell
+def _():
+    return
+
+
 @app.cell
 def _(datetime, mo, yesterday):
     # Select date range for difference data points

From a66c820c378723677e0236c052d16cb85b46a895 Mon Sep 17 00:00:00 2001
From: cmhosale <charles.m.hosale@gmail.com>
Date: Wed, 13 May 2026 10:12:25 -0500
Subject: [PATCH 03/14] summary stats now include preserved stats

---
 notebook.py | 29 ++++++++++++++---------------
 1 file changed, 14 insertions(+), 15 deletions(-)

diff --git a/notebook.py b/notebook.py
index 2096d4a..e3cd1a7 100644
--- a/notebook.py
+++ b/notebook.py
@@ -887,7 +887,7 @@ def _(cdps_df, convert_size, mo):
         ],
         gap=1,
     )
-    return (aip_display,)
+    return aip_df, aip_display
 
 
 @app.cell(hide_code=True)
@@ -1088,8 +1088,8 @@ def _(cdps_df, convert_size, go, mo):
     return (original_files_display,)
 
 
-app._unparsable_cell(
-    r"""
+@app.cell
+def _(aip_df, cdps_df, convert_size, mo):
     # Summary stats
 
     total_files = mo.stat(
@@ -1102,16 +1102,20 @@ def _(cdps_df, convert_size, go, mo):
         value=f"{convert_size(cdps_df["size"].sum())}",
     )
 
-    preserved_files = mo.stat(
-        lable ="Preserved files",
-        value=
+    preserved_files = mo.stat(label="Preserved files", value=f"{len(aip_df):,}")
+
+    preserved_storage = mo.stat(
+        label="Total preserved size",
+        value=f"{convert_size(aip_df["size"].sum())}",
     )
 
     # Organizes the summary stats horizontally
-    current_summary = mo.hstack([total_files, total_storage], widths="equal", gap=1)
-    """,
-    name="_",
-)
+    current_summary = mo.hstack(
+        [total_files, total_storage, preserved_files, preserved_storage],
+        widths="equal",
+        gap=1,
+    )
+    return (current_summary,)
 
 
 @app.cell(hide_code=True)
@@ -1177,11 +1181,6 @@ def _(
     return
 
 
-@app.cell
-def _():
-    return
-
-
 @app.cell
 def _(datetime, mo, yesterday):
     # Select date range for difference data points

From 739165876c1d394bfb4a43fbe44cec387a3facec Mon Sep 17 00:00:00 2001
From: cmhosale <charles.m.hosale@gmail.com>
Date: Wed, 13 May 2026 10:38:27 -0500
Subject: [PATCH 04/14] updated about this notebook text to include submission,
 dissemination, and date compare

---
 notebook.py | 23 +++++++++++++----------
 1 file changed, 13 insertions(+), 10 deletions(-)

diff --git a/notebook.py b/notebook.py
index e3cd1a7..bdf25a3 100644
--- a/notebook.py
+++ b/notebook.py
@@ -1123,19 +1123,22 @@ def _(mo):
     # About this notebook
 
     about_display = mo.md(
-        """ The notebook's data comes from the CDPS AIPstore buckets' AWS S3 inventories. The notebook can display data from any existing set of inventories. Use the calendar to select a date. Inventories are updated daily.
+        """ The notebook's data comes from the CDPS buckets' AWS S3 inventories. The notebook can display data from any existing set of inventories. Use the calendar to select a date. Inventories are updated daily. The notebook can also present a basic comparison of two dates, see the lower sections for more information.
 
-    The notebook categorizes files in ways that facilitate analysis. Here's a summary of the logic used to categorize the files:
-    - If a file has specific file names or is stored in specific directories that indicate it is descriptive or preservation metadata, it's status is categorized ***metadata***.
-    - If a file has an Archivematica file UUID appended to the filename, is a PDF in a digitized AIP, or is in a thumbnails directory, it's status is categorized ***normalized/access derivative***.
-    - If an AIP is a backup copy stored in redundant storage (4b or 5b), the files within it are given the status category ***replica copy***.
-    - Any file that is not a replica copy, a normalized/access derivative, or metadata is given the status category ***original content***.
-    - ***Mimetypes*** are estimated using the file's extension and the Python mimetypes library. File formats have not been validated in these datasets.
-    - If the AIP containing a file has a name indicating it came from MIT Libraries digitization workflows, the file is marked ***digitized***.
-    - Any files that are not in AIPs marked digitized are marked ***born-digital***.
+    The data includes the preservation storage buckets (AIPStores 1 through 5), the Submission bucket (for ingest and backlog storage), and the Dissemination bucket (for sharing access copies). The statistics often analyze all buckets but some, with notice and where appropriate, have been filtered to only analyze the preservation AIPStores.
 
     The notebook's data is intended for MIT Libraries staff use. It has minor redactions that protect data security and archive restrictions. The full AWS inventories remain restricted.
 
+    The notebook categorizes files in ways that facilitate analysis. Here's a summary of the logic used to categorize the files:
+    - ***Metadata:*** If a file has specific file names or is stored in specific directories that indicate it is descriptive or preservation metadata, it's status is categorized metadata.
+    - ***Normalized/access derivative:*** If a file has an Archivematica file UUID appended to the filename, is a PDF in a digitized AIP, is in a thumbnails directory, or is stored in the Dissemination bucket, it's status is categorized normalized/access derivative.
+    - ***Replica copy:*** If an AIP is a backup copy stored in redundant storage (4b or 5b), the files within it are given the status category replica copy.
+    - ***Original content:*** Any file that is not a replica copy, a normalized/access derivative, or metadata is given the status category original content.
+    - ***Mimetypes:*** Mimetypes are estimated using the file's extension and the Python mimetypes library. File formats have not been validated in these datasets.
+    - ***AIP:*** Any file that has gone through routine preservation workflows and is in an AIPStore bucket is marked as being part of an Archival Information Package (AIP).
+    - ***Digitized:*** If the AIP containing a file has a name indicating it came from MIT Libraries digitization workflows, the file is marked digitized.
+    - ***Born-digital:*** Any files that are not in AIPs marked digitized are marked born-digital.
+
     For more information about the Libraries' preservation infrastructure see [Repository and Digital Content Storage Systems and Services](https://mitlibraries.atlassian.net/wiki/x/AQDsEQE).
 
     Have questions or comments? Contact the Digital Preservation Coordinator, Charlie Hosale (chosale@mit.edu)."""
@@ -1175,7 +1178,7 @@ def _(
 
     # Organizes elements on the page vertically
     mo.vstack(
-        [mo.md("### Current Data Summary"), current_summary, data_category_accordion],
+        [mo.md("### CDPS Summary"), current_summary, data_category_accordion],
         gap=1,
     )
     return

From 044359d6e12a83d76a5f9ed93f6ab4a8489ced2a Mon Sep 17 00:00:00 2001
From: cmhosale <charles.m.hosale@gmail.com>
Date: Wed, 13 May 2026 15:24:51 -0500
Subject: [PATCH 05/14] comparison code now structured same as the single
 dashboard, made AIP comparisons ignore submission and dissemination, and
 added a few file count and AIP comparison stats

---
 notebook.py | 354 +++++++++++++++++++++++++++++++++++++---------------
 1 file changed, 250 insertions(+), 104 deletions(-)

diff --git a/notebook.py b/notebook.py
index bdf25a3..5338be7 100644
--- a/notebook.py
+++ b/notebook.py
@@ -444,7 +444,7 @@ def _calculate_difference_by_field(
         difference_data = (
             (end_series - start_series).sort_values(ascending=False).reset_index()
         )
-        difference_data.columns = [field_name, "difference"]
+        difference_data.columns = [field_name, "growth"]
 
         # Add start and end values as columns
         start_values = start_series.reindex(
@@ -457,13 +457,13 @@ def _calculate_difference_by_field(
         difference_data.insert(2, end_label, end_values)
 
         # Calculate percent difference
-        difference_data["percent difference"] = (
-            (difference_data["difference"].to_numpy() / start_values) * 100
+        difference_data["percent growth"] = (
+            (difference_data["growth"].to_numpy() / start_values) * 100
         ).round(2).astype(str) + "%"
 
         # Apply formatter if provided
         if formatter:
-            for field in [start_label, end_label, "difference"]:
+            for field in [start_label, end_label, "growth"]:
                 difference_data[field] = difference_data[field].apply(formatter)
 
         return difference_data
@@ -1265,12 +1265,14 @@ def _(
 
     start_df = comparison_dfs["start"]
     end_df = comparison_dfs["end"]
-    return end_df, start_df
+    start_aip_df = start_df[start_df["is_aip"] == True]
+    end_aip_df = end_df[end_df["is_aip"] == True]
+    return end_aip_df, end_df, start_aip_df, start_df
 
 
-@app.cell
+@app.cell(hide_code=True)
 def _(convert_size, end_df, mo, start_df):
-    # Date range difference totals
+    # Date range difference totals summary
 
     # Total file count statistics
     start_file_count = len(start_df)
@@ -1279,12 +1281,12 @@ def _(convert_size, end_df, mo, start_df):
     end_file_count_stat = mo.stat(label="End file count", value=end_file_count)
 
     total_file_count_difference = mo.stat(
-        label="Total file count difference",
+        label="Total file count growth",
         value=f"{end_file_count - start_file_count:,}",
     )
 
     total_file_count_difference_percent = mo.stat(
-        label="Total file count difference percentage",
+        label="Total file count growth percentage",
         value=f"{round((end_file_count - start_file_count ) / start_file_count * 100, 2)} %",
     )
 
@@ -1295,44 +1297,184 @@ def _(convert_size, end_df, mo, start_df):
     end_storage_stat = mo.stat(label="End storage", value=convert_size(end_storage))
 
     total_storage_difference = mo.stat(
-        label="Total storage size difference",
+        label="Total storage size growth",
         value=f"{convert_size(end_storage - start_storage)}",
     )
     total_storage_difference_percent = mo.stat(
-        label="Total storage size difference percentage",
+        label="Total storage size growth percentage",
         value=f"{round((end_storage - start_storage ) / start_storage * 100, 2)} %",
     )
 
+    # displays
+    file_change_display = mo.hstack(
+        [
+            start_file_count_stat,
+            end_file_count_stat,
+            total_file_count_difference,
+            total_file_count_difference_percent,
+        ],
+        widths="equal",
+        gap=1,
+    )
+
+    storage_change_display = mo.hstack(
+        [
+            start_storage_stat,
+            end_storage_stat,
+            total_storage_difference,
+            total_storage_difference_percent,
+        ],
+        widths="equal",
+        gap=1,
+    )
+
+    comparison_summary = mo.vstack(
+        [
+            mo.md("_File count changes:_"),
+            file_change_display,
+            mo.md("_Storage size changes:_"),
+            storage_change_display,
+        ]
+    )
+    return (comparison_summary,)
+
+
+@app.cell(hide_code=True)
+def _(convert_size, end_aip_df, mo, start_aip_df):
+    # AIP and preserved content comparisons
+
+    # Preserved file count statistics
+    start_preserved_file_count = len(start_aip_df)
+    end_preserved_file_count = len(end_aip_df)
+    start_preserved_file_count_stat = mo.stat(
+        label="Start preserved files", value=start_preserved_file_count
+    )
+    end_preserved_file_count_stat = mo.stat(
+        label="End preserved file count", value=end_preserved_file_count
+    )
+
+    preserved_file_count_difference = mo.stat(
+        label="Preserved file count growth",
+        value=f"{end_preserved_file_count - start_preserved_file_count:,}",
+    )
+
+    preserved_file_count_difference_percent = mo.stat(
+        label="Preserved file count growth percentage",
+        value=f"{round((end_preserved_file_count - start_preserved_file_count ) / start_preserved_file_count * 100, 2)} %",
+    )
+
+    # Preserved total storage statistics
+    start_preserved_storage = start_aip_df["size"].sum()
+    end_preserved_storage = end_aip_df["size"].sum()
+    start_preserved_storage_stat = mo.stat(
+        label="Start preserved storage", value=convert_size(start_preserved_storage)
+    )
+    end_preserved_storage_stat = mo.stat(
+        label="End preserved storage", value=convert_size(end_preserved_storage)
+    )
+
+    preserved_storage_difference = mo.stat(
+        label="Preserved storage size growth",
+        value=f"{convert_size(end_preserved_storage - start_preserved_storage)}",
+    )
+    preserved_storage_difference_percent = mo.stat(
+        label="Preserved storage size growth percentage",
+        value=f"{round((end_preserved_storage - start_preserved_storage ) / start_preserved_storage * 100, 2)} %",
+    )
+
     # New AIPs
-    end_uuids = set(end_df["uuid"].unique())
-    start_uuids = set(start_df["uuid"].unique())
+    end_uuids = set(end_aip_df["uuid"].unique())
+    start_uuids = set(start_aip_df["uuid"].unique())
     new_aip_uuids = end_uuids - start_uuids
     new_aips = mo.stat(label="New AIPs", value=f"{len(new_aip_uuids)}")
-    return (
-        end_file_count_stat,
-        end_storage_stat,
-        new_aip_uuids,
-        new_aips,
-        start_file_count_stat,
-        start_storage_stat,
-        total_file_count_difference,
-        total_file_count_difference_percent,
-        total_storage_difference,
-        total_storage_difference_percent,
+
+    # Deleted AIPs
+    deleted_aip_uuids = start_uuids - end_uuids
+    deleted_aips = mo.stat(label="Deleted AIPs", value=f"{len(deleted_aip_uuids)}")
+
+    # Difference in AIP counts
+    change_aip_uuids = len(end_aip_df["uuid"].unique()) - len(
+        start_aip_df["uuid"].unique()
+    )
+    change_aips = mo.stat(label="Growth in total AIPs", value=f"{change_aip_uuids}")
+
+    # Find largest added AIP by storage size
+    aip_sizes_end = end_aip_df.groupby("uuid")["size"].sum()
+    new_aip_sizes = aip_sizes_end[aip_sizes_end.index.isin(new_aip_uuids)]
+    if len(new_aip_sizes) > 0:
+        largest_aip_uuid = new_aip_sizes.idxmax()
+        largest_aip_data = {
+            "UUID": [largest_aip_uuid],
+            "Size": [convert_size(new_aip_sizes[largest_aip_uuid])],
+        }
+    else:
+        largest_aip_data = {"NA": "No new AIPs during this period"}
+
+    largest_aip_table = mo.ui.table(
+        largest_aip_data,
+        label="Largest new AIP",
+        selection=None,
+    )
+
+    # Displays
+
+    preserved_file_display = mo.hstack(
+        [
+            start_preserved_file_count_stat,
+            end_preserved_file_count_stat,
+            preserved_file_count_difference,
+            preserved_file_count_difference_percent,
+        ],
+        widths="equal",
+        gap=1,
+    )
+
+    preserved_storage_display = mo.hstack(
+        [
+            start_preserved_storage_stat,
+            end_preserved_storage_stat,
+            preserved_storage_difference,
+            preserved_storage_difference_percent,
+        ],
+        widths="equal",
+        gap=1,
+    )
+
+    aips_display = mo.hstack(
+        [new_aips, deleted_aips, change_aips],
+        widths="equal",
+        gap=1,
+    )
+
+    preserved_difference_display = mo.vstack(
+        [
+            mo.md("_AIP count changes:_"),
+            aips_display,
+            mo.md("_AIP file count changes:_"),
+            preserved_file_display,
+            mo.md("_AIP storage size changes:_"),
+            preserved_storage_display,
+            largest_aip_table,
+        ]
     )
 
+    return (preserved_difference_display,)
+
 
 @app.cell
-def _(
-    convert_size,
-    end_df,
-    file_count_difference_by_field,
-    mo,
-    new_aip_uuids,
-    start_df,
-    storage_difference_by_field,
-):
-    # Date range difference tables
+def _(end_df, file_count_difference_by_field, mo, start_df):
+    # File changes:
+
+    # File count difference by bucket
+    file_count_difference_by_bucket_data = file_count_difference_by_field(
+        start_df, end_df, "bucket"
+    )
+    file_count_difference_by_bucket_table = mo.ui.table(
+        file_count_difference_by_bucket_data,
+        label="File count growth by bucket",
+        selection=None,
+        page_size=25,
+    )
 
     # File count difference by status
     file_count_difference_by_status_data = file_count_difference_by_field(
@@ -1340,18 +1482,43 @@ def _(
     )
     file_count_difference_by_status_table = mo.ui.table(
         file_count_difference_by_status_data,
-        label="File count difference by status",
+        label="File count growth by status",
         selection=None,
         page_size=25,
     )
 
+    # File count difference by preservation_level
+    file_count_difference_by_preservation_level_data = file_count_difference_by_field(
+        start_df, end_df, "preservation_level"
+    )
+    file_count_difference_by_preservation_level_table = mo.ui.table(
+        file_count_difference_by_preservation_level_data,
+        label="File count growth by preservation level",
+        selection=None,
+        page_size=25,
+    )
+
+    file_counts_difference_display = mo.vstack(
+        [
+            file_count_difference_by_bucket_table,
+            file_count_difference_by_status_table,
+            file_count_difference_by_preservation_level_table,
+        ]
+    )
+    return (file_counts_difference_display,)
+
+
+@app.cell
+def _(end_df, mo, start_df, storage_difference_by_field):
+    # Storage changes
+
     # Storage difference by bucket
     storage_difference_by_bucket_data = storage_difference_by_field(
         start_df, end_df, "bucket"
     )
     storage_difference_by_bucket_table = mo.ui.table(
         storage_difference_by_bucket_data,
-        label="Storage size difference by bucket",
+        label="Storage size growth by bucket",
         selection=None,
         page_size=25,
     )
@@ -1362,7 +1529,7 @@ def _(
     )
     storage_difference_by_status_table = mo.ui.table(
         storage_difference_by_status_data,
-        label="Storage size difference by status",
+        label="Storage size growth by status",
         selection=None,
         page_size=25,
     )
@@ -1373,92 +1540,71 @@ def _(
     )
     storage_difference_by_preservation_level_table = mo.ui.table(
         storage_difference_by_preservation_level_data,
-        label="Storage size difference by preservation level",
+        label="Storage size growth by preservation level",
         selection=None,
         page_size=25,
     )
 
-    # Find largest added AIP by storage size
-    aip_sizes_end = end_df.groupby("uuid")["size"].sum()
-    new_aip_sizes = aip_sizes_end[aip_sizes_end.index.isin(new_aip_uuids)]
-    if len(new_aip_sizes) > 0:
-        largest_aip_uuid = new_aip_sizes.idxmax()
-        largest_aip_data = {
-            "UUID": [largest_aip_uuid],
-            "Size": [convert_size(new_aip_sizes[largest_aip_uuid])],
-        }
-    else:
-        largest_aip_data = {"NA": "No new AIPs during this period"}
+    # display
 
-    largest_aip_table = mo.ui.table(
-        largest_aip_data,
-        label="Largest new AIP",
-        selection=None,
-    )
-    return (
-        file_count_difference_by_status_table,
-        largest_aip_table,
-        storage_difference_by_bucket_table,
-        storage_difference_by_preservation_level_table,
-        storage_difference_by_status_table,
+    storage_difference_display = mo.vstack(
+        [
+            storage_difference_by_bucket_table,
+            storage_difference_by_status_table,
+            storage_difference_by_preservation_level_table,
+        ]
     )
 
+    return (storage_difference_display,)
+
+
+@app.cell
+def _(mo):
+    # file type differences
+    file_type_difference_display = mo.md("in draft")
+    return (file_type_difference_display,)
+
+
+@app.cell
+def _(mo):
+    # about comparison
+    about_comparison = mo.md("in draft")
+    return (about_comparison,)
+
 
 @app.cell
 def _(
-    end_file_count_stat,
-    end_storage_stat,
-    file_count_difference_by_status_table,
-    largest_aip_table,
+    about_comparison,
+    comparison_summary,
+    file_counts_difference_display,
+    file_type_difference_display,
     mo,
-    new_aips,
-    start_file_count_stat,
-    start_storage_stat,
-    storage_difference_by_bucket_table,
-    storage_difference_by_preservation_level_table,
-    storage_difference_by_status_table,
-    total_file_count_difference,
-    total_file_count_difference_percent,
-    total_storage_difference,
-    total_storage_difference_percent,
+    preserved_difference_display,
+    storage_difference_display,
 ):
-    # Display data points for date range difference
+    # Comparison Dashboard
 
-    start_end_display = mo.hstack(
-        [
-            start_file_count_stat,
-            end_file_count_stat,
-            start_storage_stat,
-            end_storage_stat,
-        ],
-        widths="equal",
-        gap=1,
+    # Collects all the data displays with labels in an accordion element
+    data_difference_category_accordion = mo.accordion(
+        lazy=True,
+        items={
+            "About this data comparison:": about_comparison,
+            "Storage data compare:": storage_difference_display,
+            "File count compare:": file_counts_difference_display,
+            "File type compare:": file_type_difference_display,
+            "Archival information packages": preserved_difference_display,
+        },
     )
 
-    total_difference_display = mo.hstack(
+    # Organizes elements on the page vertically
+    mo.vstack(
         [
-            total_file_count_difference,
-            total_file_count_difference_percent,
-            total_storage_difference,
-            total_storage_difference_percent,
-            new_aips,
+            mo.md("### Comparison Summary"),
+            comparison_summary,
+            data_difference_category_accordion,
         ],
-        widths="equal",
         gap=1,
     )
-
-    difference_display = mo.vstack(
-        [
-            start_end_display,
-            total_difference_display,
-            file_count_difference_by_status_table,
-            storage_difference_by_bucket_table,
-            storage_difference_by_status_table,
-            storage_difference_by_preservation_level_table,
-            largest_aip_table,
-        ]
-    )
-    difference_display
     return
 
 

From a8dc25de1cf1d4a04b0e15755aeb9c5092f92af1 Mon Sep 17 00:00:00 2001
From: cmhosale <charles.m.hosale@gmail.com>
Date: Wed, 13 May 2026 15:37:31 -0500
Subject: [PATCH 06/14] added original files storage size born digital vs
 digitized to original files stats

---
 notebook.py | 32 +++++++++++++++++++++++++++++++-
 1 file changed, 31 insertions(+), 1 deletion(-)

diff --git a/notebook.py b/notebook.py
index 5338be7..ded150b 100644
--- a/notebook.py
+++ b/notebook.py
@@ -1061,6 +1061,29 @@ def _(cdps_df, convert_size, go, mo):
         top10_original_files_mimetype_size_data.drop("bytes", axis=1)
     )
 
+    original_files_born_digital_digitized_size_data = (
+        original_files.groupby("is_digitized_AIP")["size"]
+        .sum()
+        .sort_values(ascending=False)
+        .reset_index()
+    )
+    original_files_born_digital_digitized_size_chart = go.Figure(
+        data=[
+            go.Pie(
+                labels=original_files_born_digital_digitized_size_data[
+                    "is_digitized_AIP"
+                ],
+                values=original_files_born_digital_digitized_size_data["size"],
+                title="Original files storage size by born-digital vs. digitized",
+            )
+        ]
+    )
+    original_files_born_digital_digitized_size_data = (
+        original_files_born_digital_digitized_size_data.assign(
+            size=lambda x: x["size"].apply(convert_size)
+        )
+    )
+
     # Organizes the data views into tables vertically with labels
     original_files_display = mo.vstack(
         [
@@ -1082,6 +1105,13 @@ def _(cdps_df, convert_size, go, mo):
             mo.ui.table(
                 top10_original_files_mimetype_size_data, selection=None, page_size=25
             ),
+            mo.md("#### Original files storage size by born-digital vs. digitized"),
+            mo.ui.plotly(original_files_born_digital_digitized_size_chart),
+            mo.ui.table(
+                original_files_born_digital_digitized_size_data,
+                selection=None,
+                page_size=25,
+            ),
         ],
         gap=1,
     )
@@ -1592,7 +1622,7 @@ def _(
             "Storage data compare:": storage_difference_display,
             "File count compare:": file_counts_difference_display,
             "File type compare:": file_type_difference_display,
-            "Archival information packages": preserved_difference_display,
+            "Archival information packages:": preserved_difference_display,
         },
     )
 

From 9c005aaac8a322262e2232ff7948460b5151ef86 Mon Sep 17 00:00:00 2001
From: cmhosale <charles.m.hosale@gmail.com>
Date: Wed, 13 May 2026 15:41:42 -0500
Subject: [PATCH 07/14] added mean file storage size by preservation level

---
 notebook.py | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/notebook.py b/notebook.py
index ded150b..ba18e8c 100644
--- a/notebook.py
+++ b/notebook.py
@@ -794,6 +794,10 @@ def _(cdps_df, convert_size, go, mo):
         cdps_df.groupby("status")["size"].mean().apply(convert_size).to_dict()
     )
 
+    mean_file_size_by_preservation_level = (
+        cdps_df.groupby("preservation_level")["size"].mean().apply(convert_size).to_dict()
+    )
+
     # Organizes the data views into tables vertically with labels
     storage_display = mo.vstack(
         [
@@ -821,6 +825,10 @@ def _(cdps_df, convert_size, go, mo):
             mo.ui.table(mean_file_size, selection=None, page_size=25),
             mo.md("#### Mean file storage size by status"),
             mo.ui.table(mean_file_size_by_status, selection=None, page_size=25),
+            mo.md("#### Mean file storage size by preservation level"),
+            mo.ui.table(
+                mean_file_size_by_preservation_level, selection=None, page_size=25
+            ),
         ],
         gap=1,
     )

From f9bc55b810a2d8aaf164347f451cf8f3c064cfde Mon Sep 17 00:00:00 2001
From: cmhosale <charles.m.hosale@gmail.com>
Date: Wed, 13 May 2026 16:11:19 -0500
Subject: [PATCH 08/14] added a few mimetype mappings for unknown extensions
 and changed mxf to a video mimetype

---
 notebook.py | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/notebook.py b/notebook.py
index ba18e8c..f3b9b62 100644
--- a/notebook.py
+++ b/notebook.py
@@ -289,6 +289,10 @@ def preservation_level(dataframe: pd.DataFrame) -> pd.DataFrame:
     def mime_types(dataframe: pd.DataFrame) -> pd.DataFrame:
         """Add mime type based on file extension."""
         mimetypes.add_type("application/vnd.ms-outlook", ".msg")
+        mimetypes.add_type("text/plain", ".md5")
+        mimetypes.add_type("text/x-server-parsed-html", ".shtml")
+        mimetypes.add_type("application/warc", ".warc")
+        mimetypes.add_type("video/mxf", ".mxf")
         dataframe.loc[:, "mimetype"] = dataframe["extension"].apply(
             lambda extension: (
                 "unknown"

From 63ea201009d6845f4605795ebfefe2880b0b7c4a Mon Sep 17 00:00:00 2001
From: cmhosale <charles.m.hosale@gmail.com>
Date: Wed, 13 May 2026 16:43:08 -0500
Subject: [PATCH 09/14] added file type comparisons

---
 notebook.py | 64 ++++++++++++++++++++++++++++++++++++++++++++++++++---
 1 file changed, 61 insertions(+), 3 deletions(-)

diff --git a/notebook.py b/notebook.py
index f3b9b62..a16b351 100644
--- a/notebook.py
+++ b/notebook.py
@@ -1237,7 +1237,7 @@ def _(datetime, mo, yesterday):
     end_date_selector = mo.ui.date(value=str(yesterday), label="Select End Date")
 
     date_selectors = mo.hstack([start_date_selector, end_date_selector])
-    mo.vstack([mo.md("### Difference summary for date range"), date_selectors])
+    mo.vstack([mo.md("### Compare two dates:"), date_selectors])
     return end_date_selector, start_date_selector
 
 
@@ -1601,9 +1601,67 @@ def _(end_df, mo, start_df, storage_difference_by_field):
 
 
 @app.cell
-def _(mo):
+def _(
+    end_df,
+    file_count_difference_by_field,
+    mo,
+    start_df,
+    storage_difference_by_field,
+):
     # file type differences
-    file_type_difference_display = mo.md("in draft")
+
+    # File type difference by extension
+    file_type_difference_by_extension_data = file_count_difference_by_field(
+        start_df, end_df, "extension"
+    )
+    file_type_difference_by_extension_table = mo.ui.table(
+        file_type_difference_by_extension_data,
+        label="File type growth by extension",
+        selection=None,
+        page_size=25,
+    )
+
+    # File type difference by mimetype
+    file_type_difference_by_mimetype_data = file_count_difference_by_field(
+        start_df, end_df, "mimetype"
+    )
+    file_type_difference_by_mimetype_table = mo.ui.table(
+        file_type_difference_by_mimetype_data,
+        label="File type growth by mimetype",
+        selection=None,
+        page_size=25,
+    )
+
+    # Storage difference by mimetype
+    storage_difference_by_mimetype_data = storage_difference_by_field(
+        start_df, end_df, "mimetype"
+    )
+    storage_difference_by_mimetype_table = mo.ui.table(
+        storage_difference_by_mimetype_data,
+        label="Storage size growth by mimetype",
+        selection=None,
+        page_size=25,
+    )
+
+    # Storage difference by extension
+    storage_difference_by_extension_data = storage_difference_by_field(
+        start_df, end_df, "extension"
+    )
+    storage_difference_by_extension_table = mo.ui.table(
+        storage_difference_by_extension_data,
+        label="Storage size growth by extension",
+        selection=None,
+        page_size=25,
+    )
+
+    file_type_difference_display = mo.vstack(
+        [
+            file_type_difference_by_extension_table,
+            file_type_difference_by_mimetype_table,
+            storage_difference_by_mimetype_table,
+            storage_difference_by_extension_table,
+        ]
+    )
     return (file_type_difference_display,)
 
 

From 0053586cc907e289999c770a5ae35ba834608d45 Mon Sep 17 00:00:00 2001
From: cmhosale <charles.m.hosale@gmail.com>
Date: Thu, 14 May 2026 11:01:32 -0500
Subject: [PATCH 10/14] added original files file count by preservation level,
 also added a border between single stats and two date comparison

---
 notebook.py | 32 ++++++++++++++++++++++++++++----
 1 file changed, 28 insertions(+), 4 deletions(-)

diff --git a/notebook.py b/notebook.py
index a16b351..1a7ba79 100644
--- a/notebook.py
+++ b/notebook.py
@@ -1042,6 +1042,14 @@ def _(cdps_df, convert_size, go, mo):
         .reset_index()
     )
 
+    original_files_preservation_level_file_count_data = (
+        original_files.groupby("preservation_level")
+        .size()
+        .to_frame("file count")
+        .sort_values(by="file count", ascending=False)
+        .reset_index()
+    )
+
     original_files_mimetype_size_data = (
         original_files.groupby("mimetype")["size"]
         .sum()
@@ -1119,6 +1127,11 @@ def _(cdps_df, convert_size, go, mo):
             ),
             mo.md("#### Original files storage size by born-digital vs. digitized"),
             mo.ui.plotly(original_files_born_digital_digitized_size_chart),
+            mo.ui.table(
+                original_files_preservation_level_file_count_data,
+                selection=None,
+                page_size=25,
+            ),
             mo.ui.table(
                 original_files_born_digital_digitized_size_data,
                 selection=None,
@@ -1237,7 +1250,20 @@ def _(datetime, mo, yesterday):
     end_date_selector = mo.ui.date(value=str(yesterday), label="Select End Date")
 
     date_selectors = mo.hstack([start_date_selector, end_date_selector])
-    mo.vstack([mo.md("### Compare two dates:"), date_selectors])
+    mo.vstack(
+        [
+            mo.md("""<hr class="dotted">
+
+    <style>
+    hr.dotted {
+        border-top: 8px dotted;
+        border-bottom: none;
+    }
+    </style>"""),
+            mo.md("### Compare two dates:"),
+            date_selectors,
+        ]
+    )
     return end_date_selector, start_date_selector
 
 
@@ -1259,7 +1285,7 @@ def _(
 ):
     # Verify start date is before end date and that data exists for the selected dates
 
-    mo.stop(not compare_button.value, mo.md("Click button to begin"))
+    mo.stop(not compare_button.value, mo.md("Select two dates and click button to begin"))
 
     mo.stop(
         start_date_selector.value > end_date_selector.value,
@@ -1499,7 +1525,6 @@ def _(convert_size, end_aip_df, mo, start_aip_df):
             largest_aip_table,
         ]
     )
-
     return (preserved_difference_display,)
 
 
@@ -1596,7 +1621,6 @@ def _(end_df, mo, start_df, storage_difference_by_field):
             storage_difference_by_preservation_level_table,
         ]
     )
-
     return (storage_difference_display,)
 
 

From 756cf6c7bcbf8c48c5f987dae1e38fb9fb4c50e9 Mon Sep 17 00:00:00 2001
From: cmhosale <charles.m.hosale@gmail.com>
Date: Thu, 14 May 2026 12:50:49 -0500
Subject: [PATCH 11/14] added contextual text for comparisons and small
 contextual text updates

---
 notebook.py | 25 +++++++++++++++----------
 1 file changed, 15 insertions(+), 10 deletions(-)

diff --git a/notebook.py b/notebook.py
index 1a7ba79..095383a 100644
--- a/notebook.py
+++ b/notebook.py
@@ -1196,7 +1196,9 @@ def _(mo):
 
     For more information about the Libraries' preservation infrastructure see [Repository and Digital Content Storage Systems and Services](https://mitlibraries.atlassian.net/wiki/x/AQDsEQE).
 
-    Have questions or comments? Contact the Digital Preservation Coordinator, Charlie Hosale (chosale@mit.edu)."""
+    The notebook's code is maintained in the MIT Libraries [GitHub marimo-cdps-dashboard repo](https://github.com/MITLibraries/marimo-cdps-dashboard).
+
+    Have questions or comments? Contact the Digital Preservation Coordinator (digitalpreservation@mit.edu)."""
     )
     return (about_display,)
 
@@ -1253,13 +1255,12 @@ def _(datetime, mo, yesterday):
     mo.vstack(
         [
             mo.md("""<hr class="dotted">
-
-    <style>
-    hr.dotted {
-        border-top: 8px dotted;
-        border-bottom: none;
-    }
-    </style>"""),
+                    <style>
+                    hr.dotted {
+                        border-top: 8px dotted;
+                        border-bottom: none;
+                        }
+                    </style>"""),
             mo.md("### Compare two dates:"),
             date_selectors,
         ]
@@ -1269,7 +1270,7 @@ def _(datetime, mo, yesterday):
 
 @app.cell
 def _(mo):
-    compare_button = mo.ui.run_button(label="Create difference summary")
+    compare_button = mo.ui.run_button(label="Create comparison")
     compare_button
     return (compare_button,)
 
@@ -1692,7 +1693,11 @@ def _(
 @app.cell
 def _(mo):
     # about comparison
-    about_comparison = mo.md("in draft")
+    about_comparison = mo.md(
+        """The notebook creates comparison statistics by comparing the inventories for the selected end date to the inventories for the selected start date. It does not comprehensively compare all data from the selected date range. For example, if an AIP was both added and deleted between the selected dates, the comparison statstics are unaware that it ever existed.\n
+    The comparison statistics analyze data from the preservation storage buckets (AIPStores 1 through 5), the Submission bucket, and the Dissemination bucket. The statistics usually analyze all buckets, but stats in the "archival information packages" section have been filtered to only analyze the preservation AIPStores."""
+    )
+
     return (about_comparison,)
 
 

From 8faeb4450af732392529b840c5b0bebb7493e98b Mon Sep 17 00:00:00 2001
From: cmhosale <charles.m.hosale@gmail.com>
Date: Thu, 14 May 2026 13:01:47 -0500
Subject: [PATCH 12/14] linting fixes

---
 notebook.py |   8 +-
 uv.lock     | 443 ++++++++++++++++++++++++++++------------------------
 2 files changed, 245 insertions(+), 206 deletions(-)

diff --git a/notebook.py b/notebook.py
index 095383a..3fa57ba 100644
--- a/notebook.py
+++ b/notebook.py
@@ -349,7 +349,7 @@ def is_normalized_file(dataframe: pd.DataFrame) -> pd.DataFrame:
         return dataframe
 
     def is_aip(dataframe: pd.DataFrame) -> pd.DataFrame:
-        """Identifies files in AIP packages"""
+        """Identifies files in AIP packages."""
         dataframe.loc[:, "is_aip"] = np.where(
             dataframe["bucket"].str.contains("aipstore"), True, False
         )
@@ -844,7 +844,7 @@ def _(cdps_df, convert_size, mo):
     # AIPs
 
     # Data views generated from filtered dataframes
-    aip_df = cdps_df[cdps_df["is_aip"] == True]
+    aip_df = cdps_df[cdps_df["is_aip"]]
 
     total_aip_count = {"Total AIP count": aip_df["uuid"].nunique()}
 
@@ -1334,8 +1334,8 @@ def _(
 
     start_df = comparison_dfs["start"]
     end_df = comparison_dfs["end"]
-    start_aip_df = start_df[start_df["is_aip"] == True]
-    end_aip_df = end_df[end_df["is_aip"] == True]
+    start_aip_df = start_df[start_df["is_aip"]]
+    end_aip_df = end_df[end_df["is_aip"]]
     return end_aip_df, end_df, start_aip_df, start_df
 
 
diff --git a/uv.lock b/uv.lock
index cfd0ece..50f5beb 100644
--- a/uv.lock
+++ b/uv.lock
@@ -27,6 +27,44 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/da/42/e921fccf5015463e32a3cf6ee7f980a6ed0f395ceeaa45060b61d86486c2/anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708", size = 114353, upload-time = "2026-03-24T12:59:08.246Z" },
 ]
 
+[[package]]
+name = "ast-serialize"
+version = "0.3.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/a9/9d/912fefab0e30aee6a3af8a62bbea4a81b29afa4ba2c973d31170620a26de/ast_serialize-0.3.0.tar.gz", hash = "sha256:1bc3ca09a63a021376527c4e938deedd11d11d675ce850e6f9c7487f5889992b", size = 60689, upload-time = "2026-04-30T23:24:48.104Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/6f/57/a54d4de491d6cdd7a4e4b0952cc3ca9f60dcefa7b5fb48d6d492debe1649/ast_serialize-0.3.0-cp314-cp314t-macosx_10_12_x86_64.whl", hash = "sha256:3a867927df59f76a18dc1d874a0b2c079b42c58972dca637905576deb0912e14", size = 1182966, upload-time = "2026-04-30T23:23:57.376Z" },
+    { url = "https://files.pythonhosted.org/packages/ee/9e/a5db014bb0f91b209236b57c429389e31290c0093532b8436d577699b2fa/ast_serialize-0.3.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:a6fb063bf040abf8321e7b8113a0554eda445ffc508aa51287f8808886a5ae22", size = 1171316, upload-time = "2026-04-30T23:23:59.63Z" },
+    { url = "https://files.pythonhosted.org/packages/15/59/fd55133e478c4326f60a11df02573bf7ccb2ac685810b50f1803d0f68053/ast_serialize-0.3.0-cp314-cp314t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5075cd8482573d743586779e5f9b652a015e37d4e95132d7e5a9bc5c8f483d8f", size = 1232234, upload-time = "2026-04-30T23:24:01.168Z" },
+    { url = "https://files.pythonhosted.org/packages/cc/79/0ca1d26357ecb4a697d74d00b73ef3137f24c140424125393a0de820eb09/ast_serialize-0.3.0-cp314-cp314t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:41560b27794f4553b0f77811e9fb325b77db4a2b39018d437e09932275306e66", size = 1233437, upload-time = "2026-04-30T23:24:03.151Z" },
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-version = "2.6.3"
+version = "2.7.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/c7/24/5f1b3bdffd70275f6661c76461e25f024d5a38a46f04aaca912426a2b1d3/urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed", size = 435556, upload-time = "2026-01-07T16:24:43.925Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/53/0c/06f8b233b8fd13b9e5ee11424ef85419ba0d8ba0b3138bf360be2ff56953/urllib3-2.7.0.tar.gz", hash = "sha256:231e0ec3b63ceb14667c67be60f2f2c40a518cb38b03af60abc813da26505f4c", size = 433602, upload-time = "2026-05-07T16:13:18.596Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/39/08/aaaad47bc4e9dc8c725e68f9d04865dbcb2052843ff09c97b08904852d84/urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4", size = 131584, upload-time = "2026-01-07T16:24:42.685Z" },
+    { url = "https://files.pythonhosted.org/packages/7f/3e/5db95bcf282c52709639744ca2a8b149baccf648e39c8cc87553df9eae0c/urllib3-2.7.0-py3-none-any.whl", hash = "sha256:9fb4c81ebbb1ce9531cce37674bbc6f1360472bc18ca9a553ede278ef7276897", size = 131087, upload-time = "2026-05-07T16:13:17.151Z" },
 ]
 
 [[package]]
@@ -1408,7 +1447,7 @@ wheels = [
 
 [[package]]
 name = "virtualenv"
-version = "21.3.0"
+version = "21.3.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "distlib" },
@@ -1416,18 +1455,18 @@ dependencies = [
     { name = "platformdirs" },
     { name = "python-discovery" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/3f/8b/6331f7a7fe70131c301106ec1e7cf23e2501bf7d4ca3636805801ca191bb/virtualenv-21.3.0.tar.gz", hash = "sha256:733750db978ec95c2d8eb4feadaa57091002bce404cb39ba69899cf7bd28944e", size = 7614069, upload-time = "2026-04-27T17:05:58.927Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/15/ba/1f6e8c957e4932be060dcdc482d339c12e0216351478add3645cdaa53c05/virtualenv-21.3.3.tar.gz", hash = "sha256:f5bda277e553b1c2b3c1a8debfc30496e1288cc93ce6b7b71b3280047e317328", size = 7613784, upload-time = "2026-05-13T18:01:30.19Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/4b/eb/03bfb1299d4c4510329e470f13f9a4ce793df7fcb5a2fd3510f911066f61/virtualenv-21.3.0-py3-none-any.whl", hash = "sha256:4d28ee41f6d9ec8f1f00cd472b9ffbcedda1b3d3b9a575b5c94a2d004fd51bd7", size = 7594690, upload-time = "2026-04-27T17:05:55.468Z" },
+    { url = "https://files.pythonhosted.org/packages/f4/34/a9dbe051de88a63eb7408ea66630bac38e72f7f6077d4be58737106860d9/virtualenv-21.3.3-py3-none-any.whl", hash = "sha256:7d5987d8369e098e41406efb780a3d4ca79280097293899e351a6407ee153ab3", size = 7594554, upload-time = "2026-05-13T18:01:27.815Z" },
 ]
 
 [[package]]
 name = "wcwidth"
-version = "0.6.0"
+version = "0.7.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/35/a2/8e3becb46433538a38726c948d3399905a4c7cabd0df578ede5dc51f0ec2/wcwidth-0.6.0.tar.gz", hash = "sha256:cdc4e4262d6ef9a1a57e018384cbeb1208d8abbc64176027e2c2455c81313159", size = 159684, upload-time = "2026-02-06T19:19:40.919Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/2c/ee/afaf0f85a9a18fe47a67f1e4422ed6cf1fe642f0ae0a2f81166231303c52/wcwidth-0.7.0.tar.gz", hash = "sha256:90e3a7ea092341c44b99562e75d09e4d5160fe7a3974c6fb842a101a95e7eed0", size = 182132, upload-time = "2026-05-02T16:04:12.653Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/68/5a/199c59e0a824a3db2b89c5d2dade7ab5f9624dbf6448dc291b46d5ec94d3/wcwidth-0.6.0-py3-none-any.whl", hash = "sha256:1a3a1e510b553315f8e146c54764f4fb6264ffad731b3d78088cdb1478ffbdad", size = 94189, upload-time = "2026-02-06T19:19:39.646Z" },
+    { url = "https://files.pythonhosted.org/packages/41/52/e465037f5375f43533d1a80b6923955201596a99142ed524d77b571a1418/wcwidth-0.7.0-py3-none-any.whl", hash = "sha256:5d69154c429a82910e241c738cd0e2976fac8a2dd47a1a805f4afed1c0f136f2", size = 110825, upload-time = "2026-05-02T16:04:11.033Z" },
 ]
 
 [[package]]

From e9eec7dd898f5b5ae606c10e6a2a87298a100618 Mon Sep 17 00:00:00 2001
From: cmhosale <charles.m.hosale@gmail.com>
Date: Fri, 15 May 2026 16:24:22 -0500
Subject: [PATCH 13/14] consistent naming for "growth" and changed largest AIP
 added to a stat

---
 notebook.py | 279 +++++++++++++++++++++++++---------------------------
 1 file changed, 135 insertions(+), 144 deletions(-)

diff --git a/notebook.py b/notebook.py
index 3fa57ba..bc3624e 100644
--- a/notebook.py
+++ b/notebook.py
@@ -405,23 +405,23 @@ def convert_size(size_bytes):
             result = f"-{result}"
         return result
 
-    def file_count_difference_by_field(
+    def file_count_growth_by_field(
         start_df: pd.DataFrame, end_df: pd.DataFrame, field: str
     ) -> pd.DataFrame:
-        """Calculate file count difference grouped by a specified field."""
+        """Calculate file count growth grouped by a specified field."""
         file_count_start = start_df.groupby(field).size()
         file_count_end = end_df.groupby(field).size()
-        return _calculate_difference_by_field(
+        return _calculate_growth_by_field(
             file_count_start, file_count_end, field, "start file count", "end file count"
         )
 
-    def storage_difference_by_field(
+    def storage_growth_by_field(
         start_df: pd.DataFrame, end_df: pd.DataFrame, group_field: str
     ) -> pd.DataFrame:
-        """Calculate storage difference grouped by a specified field."""
+        """Calculate storage growth grouped by a specified field."""
         end_storage = end_df.groupby(group_field)["size"].sum()
         start_storage = start_df.groupby(group_field)["size"].sum()
-        return _calculate_difference_by_field(
+        return _calculate_growth_by_field(
             start_storage,
             end_storage,
             group_field,
@@ -430,7 +430,7 @@ def storage_difference_by_field(
             formatter=convert_size,
         )
 
-    def _calculate_difference_by_field(
+    def _calculate_growth_by_field(
         start_series: pd.Series,
         end_series: pd.Series,
         field_name: str,
@@ -438,39 +438,37 @@ def _calculate_difference_by_field(
         end_label: str,
         formatter: Callable | None = None,
     ) -> pd.Series:
-        """Calculate difference between two series."""
+        """Calculate growth between two series."""
         # Reindex both series to ensure all values are present
         all_values = start_series.index.union(end_series.index)
         start_series = start_series.reindex(all_values, fill_value=0)
         end_series = end_series.reindex(all_values, fill_value=0)
 
-        # Calculate difference and create dataframe
-        difference_data = (
+        # Calculate growth and create dataframe
+        growth_data = (
             (end_series - start_series).sort_values(ascending=False).reset_index()
         )
-        difference_data.columns = [field_name, "growth"]
+        growth_data.columns = [field_name, "growth"]
 
         # Add start and end values as columns
         start_values = start_series.reindex(
-            difference_data[field_name], fill_value=0
+            growth_data[field_name], fill_value=0
         ).to_numpy()
-        end_values = end_series.reindex(
-            difference_data[field_name], fill_value=0
-        ).to_numpy()
-        difference_data.insert(1, start_label, start_values)
-        difference_data.insert(2, end_label, end_values)
+        end_values = end_series.reindex(growth_data[field_name], fill_value=0).to_numpy()
+        growth_data.insert(1, start_label, start_values)
+        growth_data.insert(2, end_label, end_values)
 
-        # Calculate percent difference
-        difference_data["percent growth"] = (
-            (difference_data["growth"].to_numpy() / start_values) * 100
+        # Calculate percent growth
+        growth_data["percent growth"] = (
+            (growth_data["growth"].to_numpy() / start_values) * 100
         ).round(2).astype(str) + "%"
 
         # Apply formatter if provided
         if formatter:
             for field in [start_label, end_label, "growth"]:
-                difference_data[field] = difference_data[field].apply(formatter)
+                growth_data[field] = growth_data[field].apply(formatter)
 
-        return difference_data
+        return growth_data
 
     return (
         ClientError,
@@ -478,13 +476,13 @@ def _calculate_difference_by_field(
         convert_size,
         create_dataframe_for_date,
         datetime,
-        file_count_difference_by_field,
+        file_count_growth_by_field,
         go,
         logger,
         os,
         pd,
         re,
-        storage_difference_by_field,
+        storage_growth_by_field,
         urlparse,
     )
 
@@ -1243,7 +1241,7 @@ def _(
 
 @app.cell
 def _(datetime, mo, yesterday):
-    # Select date range for difference data points
+    # Select date range for growth data points
 
     start_date_default = datetime.date(2025, 10, 18)
     start_date_selector = mo.ui.date(
@@ -1341,7 +1339,7 @@ def _(
 
 @app.cell(hide_code=True)
 def _(convert_size, end_df, mo, start_df):
-    # Date range difference totals summary
+    # Date range growth totals summary
 
     # Total file count statistics
     start_file_count = len(start_df)
@@ -1349,12 +1347,12 @@ def _(convert_size, end_df, mo, start_df):
     start_file_count_stat = mo.stat(label="Start file count", value=start_file_count)
     end_file_count_stat = mo.stat(label="End file count", value=end_file_count)
 
-    total_file_count_difference = mo.stat(
+    total_file_count_growth = mo.stat(
         label="Total file count growth",
         value=f"{end_file_count - start_file_count:,}",
     )
 
-    total_file_count_difference_percent = mo.stat(
+    total_file_count_growth_percent = mo.stat(
         label="Total file count growth percentage",
         value=f"{round((end_file_count - start_file_count ) / start_file_count * 100, 2)} %",
     )
@@ -1365,33 +1363,33 @@ def _(convert_size, end_df, mo, start_df):
     start_storage_stat = mo.stat(label="Start storage", value=convert_size(start_storage))
     end_storage_stat = mo.stat(label="End storage", value=convert_size(end_storage))
 
-    total_storage_difference = mo.stat(
+    total_storage_growth = mo.stat(
         label="Total storage size growth",
         value=f"{convert_size(end_storage - start_storage)}",
     )
-    total_storage_difference_percent = mo.stat(
+    total_storage_growth_percent = mo.stat(
         label="Total storage size growth percentage",
         value=f"{round((end_storage - start_storage ) / start_storage * 100, 2)} %",
     )
 
     # displays
-    file_change_display = mo.hstack(
+    file_compare_display = mo.hstack(
         [
             start_file_count_stat,
             end_file_count_stat,
-            total_file_count_difference,
-            total_file_count_difference_percent,
+            total_file_count_growth,
+            total_file_count_growth_percent,
         ],
         widths="equal",
         gap=1,
     )
 
-    storage_change_display = mo.hstack(
+    storage_compare_display = mo.hstack(
         [
             start_storage_stat,
             end_storage_stat,
-            total_storage_difference,
-            total_storage_difference_percent,
+            total_storage_growth,
+            total_storage_growth_percent,
         ],
         widths="equal",
         gap=1,
@@ -1399,10 +1397,10 @@ def _(convert_size, end_df, mo, start_df):
 
     comparison_summary = mo.vstack(
         [
-            mo.md("_File count changes:_"),
-            file_change_display,
-            mo.md("_Storage size changes:_"),
-            storage_change_display,
+            mo.md("_File count growth:_"),
+            file_compare_display,
+            mo.md("_Storage size growth:_"),
+            storage_compare_display,
         ]
     )
     return (comparison_summary,)
@@ -1422,12 +1420,12 @@ def _(convert_size, end_aip_df, mo, start_aip_df):
         label="End preserved file count", value=end_preserved_file_count
     )
 
-    preserved_file_count_difference = mo.stat(
+    preserved_file_count_growth = mo.stat(
         label="Preserved file count growth",
         value=f"{end_preserved_file_count - start_preserved_file_count:,}",
     )
 
-    preserved_file_count_difference_percent = mo.stat(
+    preserved_file_count_growth_percent = mo.stat(
         label="Preserved file count growth percentage",
         value=f"{round((end_preserved_file_count - start_preserved_file_count ) / start_preserved_file_count * 100, 2)} %",
     )
@@ -1442,11 +1440,11 @@ def _(convert_size, end_aip_df, mo, start_aip_df):
         label="End preserved storage", value=convert_size(end_preserved_storage)
     )
 
-    preserved_storage_difference = mo.stat(
+    preserved_storage_growth = mo.stat(
         label="Preserved storage size growth",
         value=f"{convert_size(end_preserved_storage - start_preserved_storage)}",
     )
-    preserved_storage_difference_percent = mo.stat(
+    preserved_storage_growth_percent = mo.stat(
         label="Preserved storage size growth percentage",
         value=f"{round((end_preserved_storage - start_preserved_storage ) / start_preserved_storage * 100, 2)} %",
     )
@@ -1461,28 +1459,26 @@ def _(convert_size, end_aip_df, mo, start_aip_df):
     deleted_aip_uuids = start_uuids - end_uuids
     deleted_aips = mo.stat(label="Deleted AIPs", value=f"{len(deleted_aip_uuids)}")
 
-    # Difference in AIP counts
-    change_aip_uuids = len(end_aip_df["uuid"].unique()) - len(
+    # growth in AIP counts
+    growth_aip_uuids = len(end_aip_df["uuid"].unique()) - len(
         start_aip_df["uuid"].unique()
     )
-    change_aips = mo.stat(label="Growth in total AIPs", value=f"{change_aip_uuids}")
+    growth_aips = mo.stat(label="Growth in total AIPs", value=f"{growth_aip_uuids}")
 
     # Find largest added AIP by storage size
     aip_sizes_end = end_aip_df.groupby("uuid")["size"].sum()
     new_aip_sizes = aip_sizes_end[aip_sizes_end.index.isin(new_aip_uuids)]
     if len(new_aip_sizes) > 0:
         largest_aip_uuid = new_aip_sizes.idxmax()
-        largest_aip_data = {
-            "UUID": [largest_aip_uuid],
-            "Size": [convert_size(new_aip_sizes[largest_aip_uuid])],
-        }
+        largest_aip_data = str(
+            largest_aip_uuid + " (" + convert_size(new_aip_sizes[largest_aip_uuid]) + ")"
+        )
     else:
-        largest_aip_data = {"NA": "No new AIPs during this period"}
+        largest_aip_data = {"NA: No new AIPs during this period"}
 
-    largest_aip_table = mo.ui.table(
-        largest_aip_data,
-        label="Largest new AIP",
-        selection=None,
+    largest_aip_table = mo.stat(
+        label="Largest AIP added",
+        value=largest_aip_data,
     )
 
     # Displays
@@ -1491,8 +1487,8 @@ def _(convert_size, end_aip_df, mo, start_aip_df):
         [
             start_preserved_file_count_stat,
             end_preserved_file_count_stat,
-            preserved_file_count_difference,
-            preserved_file_count_difference_percent,
+            preserved_file_count_growth,
+            preserved_file_count_growth_percent,
         ],
         widths="equal",
         gap=1,
@@ -1502,112 +1498,108 @@ def _(convert_size, end_aip_df, mo, start_aip_df):
         [
             start_preserved_storage_stat,
             end_preserved_storage_stat,
-            preserved_storage_difference,
-            preserved_storage_difference_percent,
+            preserved_storage_growth,
+            preserved_storage_growth_percent,
         ],
         widths="equal",
         gap=1,
     )
 
     aips_display = mo.hstack(
-        [new_aips, deleted_aips, change_aips],
+        [new_aips, deleted_aips, growth_aips],
         widths="equal",
         gap=1,
     )
 
-    preserved_difference_display = mo.vstack(
+    preserved_growth_display = mo.vstack(
         [
-            mo.md("_AIP count changes:_"),
+            mo.md("_AIP count growth:_"),
             aips_display,
-            mo.md("_AIP file count changes:_"),
+            mo.md("_AIP file count growth:_"),
             preserved_file_display,
-            mo.md("_AIP storage size changes:_"),
+            mo.md("_AIP storage size growths:_"),
             preserved_storage_display,
             largest_aip_table,
         ]
     )
-    return (preserved_difference_display,)
+    return (preserved_growth_display,)
 
 
 @app.cell
-def _(end_df, file_count_difference_by_field, mo, start_df):
-    # File changes:
+def _(end_df, file_count_growth_by_field, mo, start_df):
+    # File count growth:
 
-    # File count difference by bucket
-    file_count_difference_by_bucket_data = file_count_difference_by_field(
+    # File count growth by bucket
+    file_count_growth_by_bucket_data = file_count_growth_by_field(
         start_df, end_df, "bucket"
     )
-    file_count_difference_by_bucket_table = mo.ui.table(
-        file_count_difference_by_bucket_data,
+    file_count_growth_by_bucket_table = mo.ui.table(
+        file_count_growth_by_bucket_data,
         label="File count growth by bucket",
         selection=None,
         page_size=25,
     )
 
-    # File count difference by status
-    file_count_difference_by_status_data = file_count_difference_by_field(
+    # File count growth by status
+    file_count_growth_by_status_data = file_count_growth_by_field(
         start_df, end_df, "status"
     )
-    file_count_difference_by_status_table = mo.ui.table(
-        file_count_difference_by_status_data,
+    file_count_growth_by_status_table = mo.ui.table(
+        file_count_growth_by_status_data,
         label="File count growth by status",
         selection=None,
         page_size=25,
     )
 
-    # File count difference by preservation_level
-    file_count_difference_by_preservation_level_data = file_count_difference_by_field(
+    # File count growth by preservation_level
+    file_count_growth_by_preservation_level_data = file_count_growth_by_field(
         start_df, end_df, "preservation_level"
     )
-    file_count_difference_by_preservation_level_table = mo.ui.table(
-        file_count_difference_by_preservation_level_data,
+    file_count_growth_by_preservation_level_table = mo.ui.table(
+        file_count_growth_by_preservation_level_data,
         label="File count growth by preservation level",
         selection=None,
         page_size=25,
     )
 
-    file_counts_difference_display = mo.vstack(
+    file_counts_growth_display = mo.vstack(
         [
-            file_count_difference_by_bucket_table,
-            file_count_difference_by_status_table,
-            file_count_difference_by_preservation_level_table,
+            file_count_growth_by_bucket_table,
+            file_count_growth_by_status_table,
+            file_count_growth_by_preservation_level_table,
         ]
     )
-    return (file_counts_difference_display,)
+    return (file_counts_growth_display,)
 
 
 @app.cell
-def _(end_df, mo, start_df, storage_difference_by_field):
-    # Storage changes
+def _(end_df, mo, start_df, storage_growth_by_field):
+    # Storage size growth
 
-    # Storage difference by bucket
-    storage_difference_by_bucket_data = storage_difference_by_field(
-        start_df, end_df, "bucket"
-    )
-    storage_difference_by_bucket_table = mo.ui.table(
-        storage_difference_by_bucket_data,
+    # Storage growth by bucket
+    storage_growth_by_bucket_data = storage_growth_by_field(start_df, end_df, "bucket")
+    storage_growth_by_bucket_table = mo.ui.table(
+        storage_growth_by_bucket_data,
         label="Storage size growth by bucket",
         selection=None,
         page_size=25,
     )
 
-    # Storage difference by status
-    storage_difference_by_status_data = storage_difference_by_field(
-        start_df, end_df, "status"
-    )
-    storage_difference_by_status_table = mo.ui.table(
-        storage_difference_by_status_data,
+    # Storage growth by status
+    storage_growth_by_status_data = storage_growth_by_field(start_df, end_df, "status")
+    storage_growth_by_status_table = mo.ui.table(
+        storage_growth_by_status_data,
         label="Storage size growth by status",
         selection=None,
         page_size=25,
     )
 
-    # Storage difference by preservation_level
-    storage_difference_by_preservation_level_data = storage_difference_by_field(
+    # Storage growth by preservation_level
+    storage_growth_by_preservation_level_data = storage_growth_by_field(
         start_df, end_df, "preservation_level"
     )
-    storage_difference_by_preservation_level_table = mo.ui.table(
-        storage_difference_by_preservation_level_data,
+    storage_growth_by_preservation_level_table = mo.ui.table(
+        storage_growth_by_preservation_level_data,
         label="Storage size growth by preservation level",
         selection=None,
         page_size=25,
@@ -1615,79 +1607,79 @@ def _(end_df, mo, start_df, storage_difference_by_field):
 
     # display
 
-    storage_difference_display = mo.vstack(
+    storage_growth_display = mo.vstack(
         [
-            storage_difference_by_bucket_table,
-            storage_difference_by_status_table,
-            storage_difference_by_preservation_level_table,
+            storage_growth_by_bucket_table,
+            storage_growth_by_status_table,
+            storage_growth_by_preservation_level_table,
         ]
     )
-    return (storage_difference_display,)
+    return (storage_growth_display,)
 
 
 @app.cell
 def _(
     end_df,
-    file_count_difference_by_field,
+    file_count_growth_by_field,
     mo,
     start_df,
-    storage_difference_by_field,
+    storage_growth_by_field,
 ):
-    # file type differences
+    # file type growth
 
-    # File type difference by extension
-    file_type_difference_by_extension_data = file_count_difference_by_field(
+    # File type growth by extension
+    file_type_growth_by_extension_data = file_count_growth_by_field(
         start_df, end_df, "extension"
     )
-    file_type_difference_by_extension_table = mo.ui.table(
-        file_type_difference_by_extension_data,
+    file_type_growth_by_extension_table = mo.ui.table(
+        file_type_growth_by_extension_data,
         label="File type growth by extension",
         selection=None,
         page_size=25,
     )
 
-    # File type difference by mimetype
-    file_type_difference_by_mimetype_data = file_count_difference_by_field(
+    # File type growth by mimetype
+    file_type_growth_by_mimetype_data = file_count_growth_by_field(
         start_df, end_df, "mimetype"
     )
-    file_type_difference_by_mimetype_table = mo.ui.table(
-        file_type_difference_by_mimetype_data,
+    file_type_growth_by_mimetype_table = mo.ui.table(
+        file_type_growth_by_mimetype_data,
         label="File type growth by mimetype",
         selection=None,
         page_size=25,
     )
 
-    # Storage difference by mimetype
-    storage_difference_by_mimetype_data = storage_difference_by_field(
+    # Storage growth by mimetype
+    storage_growth_by_mimetype_data = storage_growth_by_field(
         start_df, end_df, "mimetype"
     )
-    storage_difference_by_mimetype_table = mo.ui.table(
-        storage_difference_by_mimetype_data,
+    storage_growth_by_mimetype_table = mo.ui.table(
+        storage_growth_by_mimetype_data,
         label="Storage size growth by mimetype",
         selection=None,
         page_size=25,
     )
 
-    # Storage difference by extension
-    storage_difference_by_extension_data = storage_difference_by_field(
+    # Storage growth by extension
+    storage_growth_by_extension_data = storage_growth_by_field(
         start_df, end_df, "extension"
     )
-    storage_difference_by_extension_table = mo.ui.table(
-        storage_difference_by_extension_data,
+    storage_growth_by_extension_table = mo.ui.table(
+        storage_growth_by_extension_data,
         label="Storage size growth by extension",
         selection=None,
         page_size=25,
     )
 
-    file_type_difference_display = mo.vstack(
+    file_type_growth_display = mo.vstack(
         [
-            file_type_difference_by_extension_table,
-            file_type_difference_by_mimetype_table,
-            storage_difference_by_mimetype_table,
-            storage_difference_by_extension_table,
+            file_type_growth_by_extension_table,
+            file_type_growth_by_mimetype_table,
+            storage_growth_by_mimetype_table,
+            storage_growth_by_extension_table,
         ]
     )
-    return (file_type_difference_display,)
+    return (file_type_growth_display,)
 
 
 @app.cell
@@ -1697,7 +1689,6 @@ def _(mo):
         """The notebook creates comparison statistics by comparing the inventories for the selected end date to the inventories for the selected start date. It does not comprehensively compare all data from the selected date range. For example, if an AIP was both added and deleted between the selected dates, the comparison statstics are unaware that it ever existed.\n
     The comparison statistics analyze data from the preservation storage buckets (AIPStores 1 through 5), the Submission bucket, and the Dissemination bucket. The statistics usually analyze all buckets, but stats in the "archival information packages" section have been filtered to only analyze the preservation AIPStores."""
     )
-
     return (about_comparison,)
 
 
@@ -1705,23 +1696,23 @@ def _(mo):
 def _(
     about_comparison,
     comparison_summary,
-    file_counts_difference_display,
-    file_type_difference_display,
+    file_counts_growth_display,
+    file_type_growth_display,
     mo,
-    preserved_difference_display,
-    storage_difference_display,
+    preserved_growth_display,
+    storage_growth_display,
 ):
     # Comparison Dashboard
 
     # Collects all the data displays with labels in an accordion element
-    data_difference_category_accordion = mo.accordion(
+    data_growth_category_accordion = mo.accordion(
         lazy=True,
         items={
             "About this data comparison:": about_comparison,
-            "Storage data compare:": storage_difference_display,
-            "File count compare:": file_counts_difference_display,
-            "File type compare:": file_type_difference_display,
-            "Archival information packages:": preserved_difference_display,
+            "Storage data compare:": storage_growth_display,
+            "File count compare:": file_counts_growth_display,
+            "File type compare:": file_type_growth_display,
+            "Archival information packages:": preserved_growth_display,
         },
     )
 
@@ -1730,7 +1721,7 @@ def _(
         [
             mo.md("### Comparison Summary"),
             comparison_summary,
-            data_difference_category_accordion,
+            data_growth_category_accordion,
         ],
         gap=1,
     )

From b3317105672070bf9404a24763e433e9bb1080a2 Mon Sep 17 00:00:00 2001
From: cmhosale <charles.m.hosale@gmail.com>
Date: Wed, 20 May 2026 11:03:18 -0400
Subject: [PATCH 14/14] fixed minor typos, added ignore for a markdown issue

---
 .pre-commit-config.yaml | 2 +-
 Makefile                | 2 +-
 notebook.py             | 4 ++--
 3 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index eb7bc47..e10e294 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -24,6 +24,6 @@ repos:
         types: ["python"]
       - id: pip-audit
         name: pip-audit
-        entry: uv run pip-audit --ignore-vuln GHSA-4xh5-x5gv-qwph
+        entry: uv run pip-audit --ignore-vuln PYSEC-2026-89
         language: system
         pass_filenames: false
\ No newline at end of file
diff --git a/Makefile b/Makefile
index c0c864b..b3f9ecc 100644
--- a/Makefile
+++ b/Makefile
@@ -56,7 +56,7 @@ ruff: # Run 'ruff' linter and print a preview of errors
 	uv run ruff check .
 
 safety: # Check for security vulnerabilities
-	uv run pip-audit
+	uv run pip-audit --ignore-vuln PYSEC-2026-89
 
 lint-apply: black-apply ruff-apply # Apply changes with 'black' and resolve 'fixable errors' with 'ruff'
 
diff --git a/notebook.py b/notebook.py
index bc3624e..936d7e2 100644
--- a/notebook.py
+++ b/notebook.py
@@ -1183,8 +1183,8 @@ def _(mo):
     The notebook's data is intended for MIT Libraries staff use. It has minor redactions that protect data security and archive restrictions. The full AWS inventories remain restricted.
 
     The notebook categorizes files in ways that facilitate analysis. Here's a summary of the logic used to categorize the files:
-    - ***Metadata:*** If a file has specific file names or is stored in specific directories that indicate it is descriptive or preservation metadata, it's status is categorized metadata.
-    - ***Normalized/access derivative:*** If a file has an Archivematica file UUID appended to the filename, is a PDF in a digitized AIP, is in a thumbnails directory, or is stored in the Dissemination bucket, it's status is categorized normalized/access derivative.
+    - ***Metadata:*** If a file has specific file names or is stored in specific directories that indicate it is descriptive or preservation metadata, its status is categorized metadata.
+    - ***Normalized/access derivative:*** If a file has an Archivematica file UUID appended to the filename, is a PDF in a digitized AIP, is in a thumbnails directory, or is stored in the Dissemination bucket, its status is categorized normalized/access derivative.
     - ***Replica copy:*** If an AIP is a backup copy stored in redundant storage (4b or 5b), the files within it are given the status category replica copy.
     - ***Original content:*** Any file that is not a replica copy, a normalized/access derivative, or metadata is given the status category original content.
     - ***Mimetypes:*** Mimetypes are estimated using the file's extension and the Python mimetypes library. File formats have not been validated in these datasets.