further work on the reference notebook

1 files changed, 250 insertions, 269 deletions

diff --git a/notebooks/cc/references.ipynb b/notebooks/cc/references.ipynb
index 86f69d53..35f7c183 100644
--- a/notebooks/cc/references.ipynb
+++ b/notebooks/cc/references.ipynb
@@ -25,8 +25,10 @@
    },
    "outputs": [],
    "source": [
+    "import functools\n",
     "import itertools\n",
     "import json\n",
+    "import re\n",
     "import warnings\n",
     "from collections.abc import Iterable\n",
     "from datetime import datetime\n",
@@ -46,6 +48,7 @@
     "from scipy import stats\n",
     "from tqdm import tqdm\n",
     "\n",
+    "from sec_certs.dataset import CCDatasetMaintenanceUpdates\n",
     "from sec_certs.dataset.cc import CCDataset\n",
     "from sec_certs.utils.parallel_processing import process_parallel\n",
     "\n",
@@ -359,84 +362,6 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(606, 31)"
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "cc_df.loc[(cc_df.status == \"active\") & (cc_df.category == SMARTCARD_CATEGORY)].shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "eal\n",
-       "EAL4+    1308\n",
-       "EAL5+     805\n",
-       "EAL2+     697\n",
-       "EAL3+     401\n",
-       "EAL2      400\n",
-       "EAL1      323\n",
-       "EAL3      305\n",
-       "EAL6+     207\n",
-       "EAL4      154\n",
-       "EAL1+      53\n",
-       "EAL5       29\n",
-       "EAL7        9\n",
-       "EAL7+       4\n",
-       "EAL6        2\n",
-       "Name: count, dtype: int64"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "cc_df.eal.value_counts()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "status\n",
-       "archived    3771\n",
-       "active      1623\n",
-       "Name: count, dtype: int64"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "cc_df.status.value_counts()"
-   ]
-  },
-  {
-   "cell_type": "code",
    "execution_count": 4,
    "metadata": {},
    "outputs": [
@@ -628,7 +553,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 53,
    "metadata": {},
    "outputs": [
     {
@@ -642,30 +567,40 @@
       "a4d0e44f4527180f      ANSSI-CC-2009/06               63\n",
       "5cdef03a3004a6ff      ANSSI-CC-2009/26               62\n",
       "2d2ce200fea72359      ANSSI-CC-2009/28               57\n",
+      "68875c05e00bd1aa      ANSSI-CC-2009/50               55\n",
+      "781c243d0021d4c5  BSI-DSZ-CC-0266-2005               55\n",
+      "8035f242b12cec6d      ANSSI-CC-2009/51               54\n",
+      "824a8da5564344a3      ANSSI-CC-2009/62               53\n",
+      "b5b8bd0cb8bb7658      ANSSI-CC-2010/01               52\n",
       "Infineon smart card IC (Security Controller) M7820 A11 with optional RSA2048/4096 v1.02.008, EC v1.02.008, SHA-2 v1.01 and Toolbox v1.02.008 libraries and with specific IC dedicated software\n",
       "Secured Microcontroller ST23YR80A\n",
       "Secured Microcontrollers SA23YR80A including the cryptographic Library NesLib SA revision 1.0\n",
       "STMicroelectronics ST23YR48A Secure Microcontroller\n",
-      "STMicroelectronics SB23YR80A Secure Microcontroller, including the cryptographic library Neslib v2.0 SB\n"
+      "STMicroelectronics SB23YR80A Secure Microcontroller, including the cryptographic library Neslib v2.0 SB\n",
+      "STMicroelectronics ST23YR48A and ST23YR80A Secure Microcontroller\n",
+      "Infineon Smart Card IC (Security Controller) SLE66CX322P/m1484b14 and m1484f18 with RSA 2048 V1.30 and specific IC Dedicated Software\n",
+      "STMicroelectronics SA23YR48/80A and SB23YR48/80A Secure Microcontrollers, including the cryptographic library Neslib v2.0 in SA or SB configuration\n",
+      "STMicroelectronics SA23YR48/80A and SB23YR48/80A Secure Microcontrollers, including the cryptographic library Neslib v3.0, in SA or SB configuration\n",
+      "STMicroelectronics ST23YR48B and ST23YR80B Secure Microcontrollers\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "  0%|          | 0/5 [00:00<?, ?it/s]"
+      "  0%|          | 0/10 [00:00<?, ?it/s]"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "100%|██████████| 5/5 [00:26<00:00,  5.25s/it]\n"
+      "100%|██████████| 10/10 [01:31<00:00,  9.19s/it]\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -685,7 +620,7 @@
     "\n",
     "def compute_certs_top_reach(df__: pd.DataFrame):\n",
     "    df = df__.copy()\n",
-    "    top_10_certs = df.sort_values(by=\"n_in_trans_refs\", ascending=False).head(5)\n",
+    "    top_10_certs = df.sort_values(by=\"n_in_trans_refs\", ascending=False).head(10)\n",
     "    print(top_10_certs[[\"cert_id\", \"n_in_trans_refs\"]])\n",
     "    for dgst in top_10_certs.index.tolist():\n",
     "        print(dset[dgst].name)\n",
@@ -713,6 +648,26 @@
    ]
   },
   {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "196"
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(set(itertools.chain.from_iterable(df.loc[df.index.isin(top_10_digests)].in_trans_refs)))"
+   ]
+  },
+  {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -721,19 +676,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 54,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "100%|██████████| 9056/9056 [00:54<00:00, 165.33it/s]\n"
+      "  0%|          | 33/9056 [00:00<01:26, 104.67it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 9056/9056 [01:29<00:00, 101.35it/s]\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -768,6 +730,26 @@
    ]
   },
   {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.2354014598540146"
+      ]
+     },
+     "execution_count": 63,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dct[pd.Timestamp(\"2023-10-17 00:00:00\")]"
+   ]
+  },
+  {
    "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
@@ -895,113 +877,39 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "100%|██████████| 652/652 [03:03<00:00,  3.55it/s]\n"
+      " 20%|█▉        | 1106/5553 [13:08<52:51,  1.40it/s] \n",
+      "100%|██████████| 641/641 [02:15<00:00,  4.72it/s]\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>0</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>count</th>\n",
-       "      <td>268.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>mean</th>\n",
-       "      <td>707.380597</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>std</th>\n",
-       "      <td>550.078827</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>min</th>\n",
-       "      <td>1.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25%</th>\n",
-       "      <td>252.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50%</th>\n",
-       "      <td>596.500000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>75%</th>\n",
-       "      <td>1044.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>max</th>\n",
-       "      <td>2508.000000</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                 0\n",
-       "count   268.000000\n",
-       "mean    707.380597\n",
-       "std     550.078827\n",
-       "min       1.000000\n",
-       "25%     252.000000\n",
-       "50%     596.500000\n",
-       "75%    1044.000000\n",
-       "max    2508.000000"
-      ]
-     },
-     "execution_count": 52,
-     "metadata": {},
-     "output_type": "execute_result"
     }
    ],
    "source": [
-    "date_range = pd.date_range(cc_df_comp.not_valid_before.min(), cc_df_comp.not_valid_before.max())\n",
-    "cert_ids_with_reach = list(set(cc_df_comp.loc[cc_df_comp.n_in_trans_refs > 0].cert_id.tolist()))\n",
-    "parallel_processing_inputs = [(cc_df_comp.copy(), x, date_range) for x in cert_ids_with_reach]\n",
+    "df = cc_df_comp.loc[cc_df_comp.not_valid_before != cc_df_comp.not_valid_after].copy()\n",
+    "date_range = pd.date_range(df.not_valid_before.min(), df.not_valid_before.max())\n",
+    "cert_ids_with_reach = list(set(df.loc[df.n_in_trans_refs > 0].cert_id.tolist()))\n",
+    "\n",
+    "\n",
+    "parallel_processing_inputs = [(df.copy(), x, date_range) for x in cert_ids_with_reach]\n",
     "reach_list = process_parallel(\n",
     "    find_reach_over_time, parallel_processing_inputs, max_workers=200, use_threading=False, unpack=True\n",
     ")\n",
-    "cert_id_to_archival = cc_df_comp[[\"cert_id\", \"not_valid_after\"]].set_index(\"cert_id\").to_dict()[\"not_valid_after\"]\n",
+    "cert_id_to_archival = df[[\"cert_id\", \"not_valid_after\"]].set_index(\"cert_id\").to_dict()[\"not_valid_after\"]\n",
     "\n",
     "# Choose only rows that are post-archival and with >0 reach\n",
     "reach_list = [x.loc[(x.index > cert_id_to_archival[x.name]) & (x > 0)] for x in reach_list]\n",
     "# Pick the number of such rows\n",
     "reach_list = [x.shape[0] for x in reach_list if x.shape[0] > 0]\n",
     "\n",
-    "# cc_df_comp.not_valid_after.value_counts()\n",
-    "sns.histplot(data=reach_list, log_scale=True, bins=50, cumulative=True)\n",
+    "sns.ecdfplot(data=reach_list, complementary=True)\n",
     "plt.show()\n",
     "pd.DataFrame(reach_list).describe()\n",
     "\n",
@@ -1373,21 +1281,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "  7%|▋         | 611/9185 [00:01<00:13, 613.85it/s]"
+      "  1%|          | 51/9185 [00:00<00:17, 509.49it/s]"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "100%|██████████| 9185/9185 [00:12<00:00, 709.44it/s]\n"
+      "100%|██████████| 9185/9185 [00:17<00:00, 521.18it/s]\n"
      ]
     }
    ],
@@ -2288,6 +2196,13 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 101,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
    "execution_count": 51,
    "metadata": {},
    "outputs": [
@@ -2298,13 +2213,20 @@
       "\\newcommand{\\numAnnotIrrelevant}{6}\n",
       "\\newcommand{\\percentageAnnotIrrelevant}{$1.5\\%$}\n",
       "\\newcommand{\\correctedPredPercentage}{$90\\%$}\n",
+      "\\newcommand{\\smartcardsRatio}{$32\\%$}\n",
+      "\\newcommand{\\smartcardRelatedRatio}{$21\\%$}\n",
+      "\\newcommand{\\othersRatio}{$46\\%$}\n",
       "\\newcommand{\\numcccerts}{5394}\n",
       "\\newcommand{\\refRichTotal}{1659}\n",
       "\\newcommand{\\refRichPercentage}{$30.76\\%$}\n",
       "\\newcommand{\\numRefsTotal}{2712}\n",
       "\\newcommand{\\compReuseRatio}{$77.32\\%$}\n",
       "\\newcommand{\\predRatio}{$22.68\\%$}\n",
-      "\\newcommand{\\NumPositiveReachWhenArchived}{$268$}\n",
+      "Warning: `reach_list` variable not found. Cannot compute number of certificates with >0 reach on their archival date\n",
+      "Warning: `df_problematic` variable not found. Cannot compute number of certs referencing an archived certificate on their issuance date.\n",
+      "\\newcommand{\\olderThan18MNL}{$1\\%$}\n",
+      "\\newcommand{\\olderThan18MDE}{$23\\%$}\n",
+      "\\newcommand{\\olderThan18MFR}{$19\\%$}\n",
       "\n",
       "\\newcommand{\\refRichSmartcard}{1295}\n",
       "\\newcommand{\\refRichSmartcardPercentage}{$74.08\\%$}\n",
@@ -2385,6 +2307,18 @@
     "ratio_pred = 100 * n_refs_pred / (n_refs_pred + n_refs_comp)\n",
     "ratio_comp = 100 * n_refs_comp / (n_refs_pred + n_refs_comp)\n",
     "\n",
+    "smartcards_ratio = cc_df.loc[cc_df.category == SMARTCARD_CATEGORY].category.value_counts().sum() / cc_df.shape[0]\n",
+    "smartcard_related_ratio = (\n",
+    "    cc_df.loc[cc_df.category.isin(CARD_RELATED_CAT)].category.value_counts().sum() / cc_df.shape[0]\n",
+    ")\n",
+    "others_ratio = cc_df.loc[cc_df.category.isin(OTHERS_CAT)].category.value_counts().sum() / cc_df.shape[0]\n",
+    "assert smartcards_ratio + smartcard_related_ratio + others_ratio == 1\n",
+    "\n",
+    "print(f\"\\\\newcommand{{\\\\smartcardsRatio}}{{${(100 * smartcards_ratio):.0f}\\%$}}\")\n",
+    "print(f\"\\\\newcommand{{\\\\smartcardRelatedRatio}}{{${(100 * smartcard_related_ratio):.0f}\\%$}}\")\n",
+    "print(f\"\\\\newcommand{{\\\\othersRatio}}{{${(100 * others_ratio):.0f}\\%$}}\")\n",
+    "\n",
+    "\n",
     "print(f\"\\\\newcommand{{\\\\numcccerts}}{{{cc_df.shape[0]}}}\")\n",
     "print(f\"\\\\newcommand{{\\\\refRichTotal}}{{{cc_df.loc[cc_df.n_refs > 0].shape[0]}}}\")\n",
     "print(f\"\\\\newcommand{{\\\\refRichPercentage}}{{${cc_df.loc[cc_df.n_refs > 0].shape[0] * 100 / cc_df.shape[0]:.2f}\\%$}}\")\n",
@@ -2397,6 +2331,25 @@
     "    print(\n",
     "        \"Warning: `reach_list` variable not found. Cannot compute number of certificates with >0 reach on their archival date\"\n",
     "    )\n",
+    "\n",
+    "if \"df_problematic\" in locals():\n",
+    "    print(f\"\\\\newcommand{{\\\\NumRefsToArchivedOnIssuanceDate}}{{${df_problematic.shape[0]}$}}\")\n",
+    "else:\n",
+    "    print(\n",
+    "        f\"Warning: `df_problematic` variable not found. Cannot compute number of certs referencing an archived certificate on their issuance date.\"\n",
+    "    )\n",
+    "\n",
+    "\n",
+    "if \"aging_df\" in locals():\n",
+    "    stale_nl = aging_df.loc[aging_df.scheme == \"NL\"].date_diff.gt(547).mean()\n",
+    "    stale_de = aging_df.loc[aging_df.scheme == \"DE\"].date_diff.gt(547).mean()\n",
+    "    stale_fr = aging_df.loc[aging_df.scheme == \"FR\"].date_diff.gt(547).mean()\n",
+    "    print(f\"\\\\newcommand{{\\\\staleNL}}{{${(100 * stale_nl):.0f}\\%$}}\")\n",
+    "    print(f\"\\\\newcommand{{\\\\staleDE}}{{${(100 * stale_de):.0f}\\%$}}\")\n",
+    "    print(f\"\\\\newcommand{{\\\\staleFR}}{{${(100 * stale_fr):.0f}\\%$}}\")\n",
+    "else:\n",
+    "    print(\"Warning: `aging_df` variable not found. Cannot compute aging statistics.\")\n",
+    "\n",
     "print(\"\")\n",
     "\n",
     "print_category_commands(\"smartcard\")\n",
@@ -5125,7 +5078,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -5215,9 +5168,55 @@
     "        \"direct_refs\": {x: {\"url\": get_url(x), \"security_func\": \"\"} for x in direct_refs},\n",
     "        \"indirect_paths\": {x[0][\"cert_id\"]: x for x in indirect_paths},\n",
     "    }\n",
+    "\n",
+    "    for cert_id in dct[\"direct_refs\"]:\n",
+    "        assert cert_id in df_comp.loc[df_comp.cert_id == starting_node].in_refs.values[0]\n",
+    "\n",
+    "    for path in dct[\"indirect_paths\"].values():\n",
+    "        for cert in path:\n",
+    "            assert cert[\"cert_id\"] in df_comp.loc[df_comp.cert_id == starting_node].in_trans_refs.values[0]\n",
+    "\n",
     "    return dct\n",
     "\n",
     "\n",
+    "def component_to_summary_row(component: dict, comp_subgraph: nx.DiGraph) -> list:\n",
+    "    \"vector: [starting_node, starting_node_url, starting_node_description, n_direct_refs, n_indirect_refs, n_total_refs]\"\n",
+    "    starting_node = component[\"starting_node\"][\"cert_id\"]\n",
+    "    starting_node_url = component[\"starting_node\"][\"dgst\"]\n",
+    "    starting_node_description = None\n",
+    "\n",
+    "    direct_refs = set(comp_subgraph.predecessors(starting_node))\n",
+    "    all_refs = set(\n",
+    "        itertools.chain.from_iterable(list(nx.shortest_path(comp_subgraph, target=starting_node).values()))\n",
+    "    ) - {starting_node}\n",
+    "    indirect_refs = all_refs - direct_refs\n",
+    "\n",
+    "    return [\n",
+    "        starting_node,\n",
+    "        starting_node_url,\n",
+    "        starting_node_description,\n",
+    "        len(direct_refs),\n",
+    "        len(indirect_refs),\n",
+    "        len(all_refs),\n",
+    "    ]\n",
+    "\n",
+    "\n",
+    "def data_to_summary_table(data: list[dict], comp_subgraph: nx.DiGraph) -> pd.DataFrame:\n",
+    "    rows = [[index] + component_to_summary_row(x, comp_subgraph) for index, x in enumerate(data)]\n",
+    "    return pd.DataFrame(\n",
+    "        rows,\n",
+    "        columns=[\n",
+    "            \"component_index\",\n",
+    "            \"starting_node\",\n",
+    "            \"starting_node_url\",\n",
+    "            \"starting_node_description\",\n",
+    "            \"n_direct_refs\",\n",
+    "            \"n_indirect_refs\",\n",
+    "            \"n_total_refs\",\n",
+    "        ],\n",
+    "    )\n",
+    "\n",
+    "\n",
     "data_to_serialize = [get_component_dict(cc_df_comp, x, comp_subgraph) for x in large_components]\n",
     "\n",
     "comp_indices = list(range(len(large_components)))\n",
@@ -5246,7 +5245,10 @@
     "    comp = data_to_serialize[i]\n",
     "    graph_string = get_component_graph(comp)\n",
     "    with (GRAPHS_LUKASZ_PATH / f\"component_{i}.dot\").open(\"w\") as handle:\n",
-    "        handle.write(graph_string)"
+    "        handle.write(graph_string)\n",
+    "\n",
+    "df_summary_table = data_to_summary_table(data_to_serialize, comp_subgraph)\n",
+    "df_summary_table.to_csv(VULN_PROPAG_PATH / \"summary_table.csv\", index=False)"
    ]
   },
   {
@@ -5261,105 +5263,84 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 96,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
-    "cert_dates = {x.heuristics.cert_id: x.not_valid_before for x in dset}\n",
+    "def compute_composite_evaluation_aging(cc_df_comp: pd.DataFrame, dset: CCDataset) -> pd.DataFrame:\n",
+    "    def find_comp_in_document(document_path: Path) -> bool:\n",
+    "        phrases = [\n",
+    "            \"composite product evaluation\",\n",
+    "            \"L’évaluation en composition\",\n",
+    "            \"Composite product evaluation for Smart Cards and similar devices\",\n",
+    "            \"\\[COMP\\]\",\n",
+    "            \"is the composite product\",\n",
+    "            \"valuation en composition\",\n",
+    "        ]\n",
+    "\n",
+    "        with document_path.open(\"r\") as handle:\n",
+    "            data = handle.read()\n",
+    "\n",
+    "        return any(re.search(phrase, data, re.IGNORECASE) for phrase in phrases)\n",
+    "\n",
+    "    def find_comp_in_cert(cert_dgst: str, cc_dset: CCDataset) -> bool:\n",
+    "        cert = cc_dset[cert_dgst]\n",
+    "        if cert.state.report_txt_path.exists() and find_comp_in_document(cert.state.report_txt_path):\n",
+    "            return True\n",
+    "\n",
+    "        if cert.state.st_txt_path.exists() and find_comp_in_document(cert.state.st_txt_path):\n",
+    "            return True\n",
     "\n",
+    "        return False\n",
     "\n",
-    "def compute_date_diff(date_a, date_b) -> int | float:\n",
-    "    if pd.isnull(date_a) or pd.isnull(date_b):\n",
-    "        return np.nan\n",
-    "    return (date_a.to_pydatetime().date() - date_b).days\n",
+    "    def compute_date_diff(date_a: pd.Timestamp, date_b: pd.Timestamp) -> int | float:\n",
+    "        if pd.isnull(date_a) or pd.isnull(date_b):\n",
+    "            return np.nan\n",
+    "        return (date_a - date_b).days\n",
     "\n",
+    "    def compute_referenced_cert_date(row) -> pd.Timestamp:\n",
+    "        \"\"\"\n",
+    "        This computes the most plausible date of referenced certificate.\n",
+    "        All maintenance updates that are older than the not_valid_before of the referencing certificates are considered\n",
+    "        \"\"\"\n",
+    "        candidate_dates = [cert_id_to_date[row.refs]] + cert_id_to_main_dates.get(row.refs, [])\n",
+    "        candidate_dates = [pd.Timestamp(x) for x in candidate_dates]\n",
+    "        filtered_dates = [x for x in candidate_dates if x <= row.not_valid_before]\n",
+    "        if not filtered_dates:\n",
+    "            return np.nan\n",
+    "        return max(filtered_dates)\n",
     "\n",
-    "df = (\n",
-    "    cc_df_comp.loc[cc_df_comp.n_refs > 0]\n",
-    "    .copy()\n",
-    "    .explode(column=\"refs\")\n",
-    "    .assign(\n",
-    "        ref_cert_date=lambda df_: df_.refs.map(cert_dates),\n",
-    "        date_diff=lambda df_: df_.apply(lambda x: compute_date_diff(x.not_valid_before, x.ref_cert_date), axis=1),\n",
+    "    cert_id_to_date = {x.heuristics.cert_id: x.not_valid_before for x in dset}\n",
+    "    cc_dgst_to_cert_id = {x.dgst: x.heuristics.cert_id for x in dset}\n",
+    "    dgst_to_main_dates = {x.dgst: [] for x in dset}\n",
+    "    for cert in dset:\n",
+    "        dgst_to_main_dates[cert.dgst] = (\n",
+    "            [x.maintenance_date for x in cert.maintenance_updates] if cert.maintenance_updates else []\n",
+    "        )\n",
+    "    cert_id_to_main_dates = {cc_dgst_to_cert_id[dgst]: dates for dgst, dates in dgst_to_main_dates.items()}\n",
+    "    schemes_to_consider = {\"FR\", \"DE\", \"NL\", \"ES\"}\n",
+    "    is_composite_partial = functools.partial(find_comp_in_cert, cc_dset=dset)\n",
+    "    df = (\n",
+    "        (\n",
+    "            cc_df_comp.loc[(cc_df_comp.n_refs > 0) & (cc_df_comp.category == SMARTCARD_CATEGORY)]\n",
+    "            .copy()\n",
+    "            .explode(column=\"refs\")\n",
+    "        )\n",
+    "        .assign(\n",
+    "            ref_cert_date=lambda df_: df_.apply(compute_referenced_cert_date, axis=1),\n",
+    "            is_composite=lambda df_: df_.index.map(is_composite_partial),\n",
+    "            date_diff=lambda df_: df_.apply(lambda x: compute_date_diff(x.not_valid_before, x.ref_cert_date), axis=1),\n",
+    "        )\n",
+    "        .loc[lambda df_: (df_.is_composite & df_.scheme.isin(schemes_to_consider))]\n",
+    "        .assign(scheme=lambda df_: df_.scheme.cat.set_categories(schemes_to_consider))\n",
     "    )\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 109,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/tmp/ipykernel_2852860/3774961618.py:3: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
-      "  df.date_diff.hist(by=df.scheme, bins=100, figsize=(40, 20), sharex=True, sharey=True, cumulative=True)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "array([[<Axes: title={'center': 'AU'}>, <Axes: title={'center': 'CA'}>,\n",
-       "        <Axes: title={'center': 'DE'}>, <Axes: title={'center': 'ES'}>],\n",
-       "       [<Axes: title={'center': 'FR'}>, <Axes: title={'center': 'IN'}>,\n",
-       "        <Axes: title={'center': 'IT'}>, <Axes: title={'center': 'JP'}>],\n",
-       "       [<Axes: title={'center': 'KR'}>, <Axes: title={'center': 'MY'}>,\n",
-       "        <Axes: title={'center': 'NL'}>, <Axes: title={'center': 'NO'}>],\n",
-       "       [<Axes: title={'center': 'SE'}>, <Axes: title={'center': 'SG'}>,\n",
-       "        <Axes: title={'center': 'TR'}>, <Axes: title={'center': 'UK'}>],\n",
-       "       [<Axes: title={'center': 'US'}>, <Axes: >, <Axes: >, <Axes: >]],\n",
-       "      dtype=object)"
-      ]
-     },
-     "execution_count": 109,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 4000x2000 with 20 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "df.date_diff.hist(by=df.scheme, bins=100, figsize=(40, 20), sharex=True, sharey=True, cumulative=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 107,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<Axes: ylabel='Frequency'>"
-      ]
-     },
-     "execution_count": 107,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "df.date_diff.plot.hist(bins=100, cumulative=True, density=True)"
+    "\n",
+    "    df.to_csv(RESULTS_DIR / \"ecdf_archival_data.csv\")\n",
+    "\n",
+    "    return df\n",
+    "\n",
+    "\n",
+    "aging_df = compute_composite_evaluation_aging(cc_df_comp, dset)"
    ]
   }
  ],