fio-l1-paris-kml-pois

Status: done
Score: 100
Duration: 2:37
Cost: 0.96¢
Model: deepseek/deepseek-v4-flash

Map (reference ← swipe → agent)

0:00
A colleague handed me `paris_late_night_pois`. Our internal map server only takes flat GeoJSON or GeoParquet, so please convert it to `paris_pois.geojson`, one row per placemark. Keep `name`, include the source's classification/grouping as a `category` column, and pull each entry's 'last verified' date out of the HTML blurb into a `verified_date` column as an ISO date. We want to flag stale records.
0:00
System info 
{
  "adapter": "openrouter",
  "model": "deepseek/deepseek-v4-flash",
  "base_url": "https://openrouter.ai/api/v1"
}
0:03 
Let me start by reading the file to understand its format and content.
0:03
Bash ls -la /work/paris_late_night_pois* 
-rw-r--r-- 1 agent agent 18305 Jun 18 14:17 /work/paris_late_night_pois.kml
0:08 
Let me first read the KML file to understand its structure.
0:08
Read /work/paris_late_night_pois.kml 
     1	<?xml version="1.0" encoding="UTF-8"?>
     2	<kml xmlns="http://www.opengis.net/kml/2.2">
     3	<Document>
     4	  <name>Late-night POIs (RATP night-bus study)</name>
     5	  <Folder>
     6	    <name>Cafés ouverts tard</name>
     7	    <Placemark>
     8	      <name>% Arabica</name>
     9	      <description><![CDATA[<b>% Arabica</b><br/>Cat&eacute;gorie&nbsp;: Cafés ouverts tard<br/><a href="https://example.org/poi/0">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-01-01]]></description>
    10	      <Point>
    11	        <coordinates>2.324676,48.854156,0</coordinates>
    12	      </Point>
    13	    </Placemark>
    14	    <Placemark>
    15	      <name>1T. rue Scribe</name>
    16	      <description><![CDATA[<b>1T. rue Scribe</b><br/>Cat&eacute;gorie&nbsp;: Cafés ouverts tard<br/><a href="https://example.org/poi/1">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-08-14]]></description>
    17	      <Point>
    18	        <coordinates>2.329774,48.870581,0</coordinates>
    19	      </Point>
    20	    </Placemark>
    21	    <Placemark>
    22	      <name>1ndix Café</name>
    23	      <description><![CDATA[<b>1ndix Café</b><br/>Cat&eacute;gorie&nbsp;: Cafés ouverts tard<br/><a href="https://example.org/poi/2">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-03-27]]></description>
    24	      <Point>
    25	        <coordinates>2.341361,48.880764,0</coordinates>
    26	      </Point>
    27	    </Placemark>
    28	    <Placemark>
    29	      <name>2 Steps Café</name>
    30	      <description><![CDATA[<b>2 Steps Café</b><br/>Cat&eacute;gorie&nbsp;: Cafés ouverts tard<br/><a href="https://example.org/poi/3">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-10-12]]></description>
    31	      <Point>
    32	        <coordinates>2.376626,48.866261,0</coordinates>
    33	      </Point>
    34	    </Placemark>
    35	    <Placemark>
    36	      <name>3234 Café - Trente Deux Trente Quatre</name>
    37	      <description><![CDATA[<b>3234 Café - Trente Deux Trente Quatre</b><br/>Cat&eacute;gorie&nbsp;: Cafés ouverts tard<br/><a href="https://example.org/poi/4">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-05-25]]></description>
    38	      <Point>
    39	        <coordinates>2.376249,48.853167,0</coordinates>
    40	      </Point>
    41	    </Placemark>
    42	    <Placemark>
    43	      <name>360 Cafe</name>
    44	      <description><![CDATA[<b>360 Cafe</b><br/>Cat&eacute;gorie&nbsp;: Cafés ouverts tard<br/><a href="https://example.org/poi/5">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-12-10]]></description>
    45	      <Point>
    46	        <coordinates>2.321838,48.842293,0</coordinates>
    47	      </Point>
    48	    </Placemark>
    49	    <Placemark>
    50	      <name>3w Cafe Paris</name>
    51	      <description><![CDATA[<b>3w Cafe Paris</b><br/>Cat&eacute;gorie&nbsp;: Cafés ouverts tard<br/><a href="https://example.org/poi/6">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-07-23]]></description>
    52	      <Point>
    53	        <coordinates>2.327530,48.851560,0</coordinates>
    54	      </Point>
    55	    </Placemark>
    56	    <Placemark>
    57	      <name>48 Collagen Café</name>
    58	      <description><![CDATA[<b>48 Collagen Caf√©</b><br/>Cat&eacute;gorie&nbsp;: Cafés ouverts tard<br/><a href="https://example.org/poi/7">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-02-08]]></description>
    59	      <Point>
    60	        <coordinates>2.340460,48.874840,0</coordinates>
    61	      </Point>
    62	    </Placemark>
    63	    <Placemark>
    64	      <name>86 Champs Elysées</name>
    65	      <description><![CDATA[<b>86 Champs Elysées</b><br/>Cat&eacute;gorie&nbsp;: Cafés ouverts tard<br/><a href="https://example.org/poi/8">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-09-21]]></description>
    66	      <Point>
    67	        <coordinates>2.303767,48.871387,0</coordinates>
    68	      </Point>
    69	    </Placemark>
    70	    <Placemark>
    71	      <name>A la Ville de Paris</name>
    72	      <description><![CDATA[<b>A la Ville de Paris</b><br/>Cat&eacute;gorie&nbsp;: Cafés ouverts tard<br/><a href="https://example.org/poi/9">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-04-06]]></description>
    73	      <Point>
    74	        <coordinates>2.344280,48.870530,0</coordinates>
    75	      </Point>
    76	    </Placemark>
    77	    <Placemark>
    78	      <name>A minima cafe</name>
    79	      <description><![CDATA[<b>A minima cafe</b><br/>Cat&eacute;gorie&nbsp;: Cafés ouverts tard<br/><a href="https://example.org/poi/10">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-11-19]]></description>
    80	      <Point>
    81	        <coordinates>2.381290,48.845300,0</coordinates>
    82	      </Point>
    83	    </Placemark>
    84	    <Placemark>
    85	      <name>AD DictCafé</name>
    86	      <description><![CDATA[<b>AD DictCafé</b><br/>Cat&eacute;gorie&nbsp;: Cafés ouverts tard<br/><a href="https://example.org/poi/11">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-06-04]]></description>
    87	      <Point>
    88	        <coordinates>2.390577,48.849002,0</coordinates>
    89	      </Point>
    90	    </Placemark>
    91	    <Placemark>
    92	      <name>ANGIOLO</name>
    93	      <description><![CDATA[<b>ANGIOLO</b><br/>Cat&eacute;gorie&nbsp;: Cafés ouverts tard<br/><a href="https://example.org/poi/12">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-01-17]]></description>
    94	      <Point>
    95	        <coordinates>2.331682,48.854538,0</coordinates>
    96	      </Point>
    97	    </Placemark>
    98	    <Placemark>
    99	      <name>Abaita</name>
   100	      <description><![CDATA[<b>Abaita</b><br/>Cat&eacute;gorie&nbsp;: Cafés ouverts tard<br/><a href="https://example.org/poi/13">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-08-02]]></description>
   101	      <Point>
   102	        <coordinates>2.368446,48.864406,0</coordinates>
   103	      </Point>
   104	    </Placemark>
   105	    <Placemark>
   106	      <name>Absinthe Café</name>
   107	      <description><![CDATA[<b>Absinthe Café</b><br/>Cat&eacute;gorie&nbsp;: Cafés ouverts tard<br/><a href="https://example.org/poi/14">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-03-15]]></description>
   108	      <Point>
   109	        <coordinates>2.357228,48.865564,0</coordinates>
   110	      </Point>
   111	    </Placemark>
   112	    <Placemark>
   113	      <name>Acai &amp; You</name>
   114	      <description><![CDATA[<b>Acai &amp; You</b><br/>Cat&eacute;gorie&nbsp;: Cafés ouverts tard<br/><a href="https://example.org/poi/15">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-10-28]]></description>
   115	      <Point>
   116	        <coordinates>2.339001,48.854247,0</coordinates>
   117	      </Point>
   118	    </Placemark>
   119	    <Placemark>
   120	      <name>Adulis Cafe Abyssinien</name>
   121	      <description><![CDATA[<b>Adulis Cafe Abyssinien</b><br/>Cat&eacute;gorie&nbsp;: Cafés ouverts tard<br/><a href="https://example.org/poi/16">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-05-13]]></description>
   122	      <Point>
   123	        <coordinates>2.346929,48.851763,0</coordinates>
   124	      </Point>
   125	    </Placemark>
   126	    <Placemark>
   127	      <name>After Place</name>
   128	      <description><![CDATA[<b>After Place</b><br/>Cat&eacute;gorie&nbsp;: Cafés ouverts tard<br/><a href="https://example.org/poi/17">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-12-26]]></description>
   129	      <Point>
   130	        <coordinates>2.336121,48.864266,0</coordinates>
   131	      </Point>
   132	    </Placemark>
   133	    <Placemark>
   134	      <name>After Place</name>
   135	      <description><![CDATA[<b>After Place</b><br/>Cat&eacute;gorie&nbsp;: Cafés ouverts tard<br/><a href="https://example.org/poi/18">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-07-11]]></description>
   136	      <Point>
   137	        <coordinates>2.351101,48.862294,0</coordinates>
   138	      </Point>
   139	    </Placemark>
   140	    <Placemark>
   141	      <name>After Place</name>
   142	      <description><![CDATA[<b>After Place</b><br/>Cat&eacute;gorie&nbsp;: Cafés ouverts tard<br/><a href="https://example.org/poi/19">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-02-24]]></description>
   143	      <Point>
   144	        <coordinates>2.361560,48.869500,0</coordinates>
   145	      </Point>
   146	    </Placemark>
   147	  </Folder>
   148	  <Folder>
   149	    <name>Bibliothèques de nuit</name>
   150	    <Placemark>
   151	      <name>AUP Housing</name>
   152	      <description><![CDATA[<b>AUP Housing</b><br/>Cat&eacute;gorie&nbsp;: Bibliothèques de nuit<br/><a href="https://example.org/poi/20">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-09-09]]></description>
   153	      <Point>
   154	        <coordinates>2.306008,48.861754,0</coordinates>
   155	      </Point>
   156	    </Placemark>
   157	    <Placemark>
   158	      <name>Academie de Medical</name>
   159	      <description><![CDATA[<b>Academie de Medical</b><br/>Cat&eacute;gorie&nbsp;: Bibliothèques de nuit<br/><a href="https://example.org/poi/21">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-04-22]]></description>
   160	      <Point>
   161	        <coordinates>2.334208,48.856342,0</coordinates>
   162	      </Point>
   163	    </Placemark>
   164	    <Placemark>
   165	      <name>Ancêtres Italiens</name>
   166	      <description><![CDATA[<b>Ancêtres Italiens</b><br/>Cat&eacute;gorie&nbsp;: Bibliothèques de nuit<br/><a href="https://example.org/poi/22">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-11-07]]></description>
   167	      <Point>
   168	        <coordinates>2.363314,48.873246,0</coordinates>
   169	      </Point>
   170	    </Placemark>
   171	    <Placemark>
   172	      <name>Apfelbaum Library</name>
   173	      <description><![CDATA[<b>Apfelbaum Library</b><br/>Cat&eacute;gorie&nbsp;: Bibliothèques de nuit<br/><a href="https://example.org/poi/23">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-06-20]]></description>
   174	      <Point>
   175	        <coordinates>2.330685,48.849518,0</coordinates>
   176	      </Point>
   177	    </Placemark>
   178	    <Placemark>
   179	      <name>Archives de l'AP-HP</name>
   180	      <description><![CDATA[<b>Archives de l&#x27;AP-HP</b><br/>Cat&eacute;gorie&nbsp;: Bibliothèques de nuit<br/><a href="https://example.org/poi/24">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-01-05]]></description>
   181	      <Point>
   182	        <coordinates>2.366407,48.857094,0</coordinates>
   183	      </Point>
   184	    </Placemark>
   185	    <Placemark>
   186	      <name>Arthur Rimbaud Library</name>
   187	      <description><![CDATA[<b>Arthur Rimbaud Library</b><br/>Cat&eacute;gorie&nbsp;: Bibliothèques de nuit<br/><a href="https://example.org/poi/25">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-08-18]]></description>
   188	      <Point>
   189	        <coordinates>2.355874,48.856134,0</coordinates>
   190	      </Point>
   191	    </Placemark>
   192	    <Placemark>
   193	      <name>Association Bibliotheque Braille Enfantine</name>
   194	      <description><![CDATA[<b>Association Bibliotheque Braille Enfantine</b><br/>Cat&eacute;gorie&nbsp;: Bibliothèques de nuit<br/><a href="https://example.org/poi/26">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-03-03]]></description>
   195	      <Point>
   196	        <coordinates>2.372404,48.868038,0</coordinates>
   197	      </Point>
   198	    </Placemark>
   199	    <Placemark>
   200	      <name>Association Francaise de Therapie</name>
   201	      <description><![CDATA[<b>Association Francaise de Therapie</b><br/>Cat&eacute;gorie&nbsp;: Bibliothèques de nuit<br/><a href="https://example.org/poi/27">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-10-16]]></description>
   202	      <Point>
   203	        <coordinates>2.308679,48.870960,0</coordinates>
   204	      </Point>
   205	    </Placemark>
   206	    <Placemark>
   207	      <name>Attractive</name>
   208	      <description><![CDATA[<b>Attractive</b><br/>Cat&eacute;gorie&nbsp;: Bibliothèques de nuit<br/><a href="https://example.org/poi/28">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-05-01]]></description>
   209	      <Point>
   210	        <coordinates>2.326704,48.866369,0</coordinates>
   211	      </Point>
   212	    </Placemark>
   213	    <Placemark>
   214	      <name>BNF</name>
   215	      <description><![CDATA[<b>BNF</b><br/>Cat&eacute;gorie&nbsp;: Bibliothèques de nuit<br/><a href="https://example.org/poi/29">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-12-14]]></description>
   216	      <Point>
   217	        <coordinates>2.338076,48.867811,0</coordinates>
   218	      </Point>
   219	    </Placemark>
   220	    <Placemark>
   221	      <name>BPI Bibliotheque Publique D Information</name>
   222	      <description><![CDATA[<b>BPI Bibliotheque Publique D Information</b><br/>Cat&eacute;gorie&nbsp;: Bibliothèques de nuit<br/><a href="https://example.org/poi/30">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-07-27]]></description>
   223	      <Point>
   224	        <coordinates>2.352378,48.859478,0</coordinates>
   225	      </Point>
   226	    </Placemark>
   227	    <Placemark>
   228	      <name>BPI-Beaubourg</name>
   229	      <description><![CDATA[<b>BPI-Beaubourg</b><br/>Cat&eacute;gorie&nbsp;: Bibliothèques de nuit<br/><a href="https://example.org/poi/31">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-02-12]]></description>
   230	      <Point>
   231	        <coordinates>2.351867,48.860532,0</coordinates>
   232	      </Point>
   233	    </Placemark>
   234	    <Placemark>
   235	      <name>Beaubourg Librairie des Arts</name>
   236	      <description><![CDATA[<b>Beaubourg Librairie des Arts</b><br/>Cat&eacute;gorie&nbsp;: Bibliothèques de nuit<br/><a href="https://example.org/poi/32">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-09-25]]></description>
   237	      <Point>
   238	        <coordinates>2.356791,48.865189,0</coordinates>
   239	      </Point>
   240	    </Placemark>
   241	    <Placemark>
   242	      <name>Bib Cent du Service de Sante Des Armees</name>
   243	      <description><![CDATA[<b>Bib Cent du Service de Sante Des Armees</b><br/>Cat&eacute;gorie&nbsp;: Bibliothèques de nuit<br/><a href="https://example.org/poi/33">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-04-10]]></description>
   244	      <Point>
   245	        <coordinates>2.341252,48.841187,0</coordinates>
   246	      </Point>
   247	    </Placemark>
   248	    <Placemark>
   249	      <name>Bibliothe que Centrale - Muse'um national d'histoire naturelle (MNHN)</name>
   250	      <description><![CDATA[<b>Bibliothe que Centrale - Muse&#x27;um national d&#x27;histoire naturelle (MNHN)</b><br/>Cat&eacute;gorie&nbsp;: Bibliothèques de nuit<br/><a href="https://example.org/poi/34">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-11-23]]></description>
   251	      <Point>
   252	        <coordinates>2.355838,48.842660,0</coordinates>
   253	      </Point>
   254	    </Placemark>
   255	  </Folder>
   256	  <Folder>
   257	    <name>Tours et infos touristiques</name>
   258	    <Placemark>
   259	      <name>24hourstravel</name>
   260	      <description><![CDATA[<b>24hourstravel</b><br/>Cat&eacute;gorie&nbsp;: Tours et infos touristiques<br/><a href="https://example.org/poi/35">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-06-08]]></description>
   261	      <Point>
   262	        <coordinates>2.347810,48.864739,0</coordinates>
   263	      </Point>
   264	    </Placemark>
   265	    <Placemark>
   266	      <name>2CVPrivateParis</name>
   267	      <description><![CDATA[<b>2CVPrivateParis</b><br/>Cat&eacute;gorie&nbsp;: Tours et infos touristiques<br/><a href="https://example.org/poi/36">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-01-21]]></description>
   268	      <Point>
   269	        <coordinates>2.337967,48.889998,0</coordinates>
   270	      </Point>
   271	    </Placemark>
   272	    <Placemark>
   273	      <name>382444404</name>
   274	      <description><![CDATA[<b>382444404</b><br/>Cat&eacute;gorie&nbsp;: Tours et infos touristiques<br/><a href="https://example.org/poi/37">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-08-06]]></description>
   275	      <Point>
   276	        <coordinates>2.326910,48.870680,0</coordinates>
   277	      </Point>
   278	    </Placemark>
   279	    <Placemark>
   280	      <name>A French Frye in Paris</name>
   281	      <description><![CDATA[<b>A French Frye in Paris</b><br/>Cat&eacute;gorie&nbsp;: Tours et infos touristiques<br/><a href="https://example.org/poi/38">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-03-19]]></description>
   282	      <Point>
   283	        <coordinates>2.340830,48.861240,0</coordinates>
   284	      </Point>
   285	    </Placemark>
   286	    <Placemark>
   287	      <name>Aeon Tours of Paris</name>
   288	      <description><![CDATA[<b>Aeon Tours of Paris</b><br/>Cat&eacute;gorie&nbsp;: Tours et infos touristiques<br/><a href="https://example.org/poi/39">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-10-04]]></description>
   289	      <Point>
   290	        <coordinates>2.358590,48.863780,0</coordinates>
   291	      </Point>
   292	    </Placemark>
   293	    <Placemark>
   294	      <name>Agence ORNIcom : location de gyropode Segway à Paris et sur toute la France</name>
   295	      <description><![CDATA[<b>Agence ORNIcom : location de gyropode Segway à Paris et sur toute la France</b><br/>Cat&eacute;gorie&nbsp;: Tours et infos touristiques<br/><a href="https://example.org/poi/40">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-05-17]]></description>
   296	      <Point>
   297	        <coordinates>2.303244,48.852662,0</coordinates>
   298	      </Point>
   299	    </Placemark>
   300	    <Placemark>
   301	      <name>Al Abrar Voyages</name>
   302	      <description><![CDATA[<b>Al Abrar Voyages</b><br/>Cat&eacute;gorie&nbsp;: Tours et infos touristiques<br/><a href="https://example.org/poi/41">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-12-02]]></description>
   303	      <Point>
   304	        <coordinates>2.312770,48.886310,0</coordinates>
   305	      </Point>
   306	    </Placemark>
   307	    <Placemark>
   308	      <name>Allison Zinder</name>
   309	      <description><![CDATA[<b>Allison Zinder</b><br/>Cat&eacute;gorie&nbsp;: Tours et infos touristiques<br/><a href="https://example.org/poi/42">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-07-15]]></description>
   310	      <Point>
   311	        <coordinates>2.398851,48.862635,0</coordinates>
   312	      </Point>
   313	    </Placemark>
   314	    <Placemark>
   315	      <name>Association Touristique Cheminots</name>
   316	      <description><![CDATA[<b>Association Touristique Cheminots</b><br/>Cat&eacute;gorie&nbsp;: Tours et infos touristiques<br/><a href="https://example.org/poi/43">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-02-28]]></description>
   317	      <Point>
   318	        <coordinates>2.371287,48.846263,0</coordinates>
   319	      </Point>
   320	    </Placemark>
   321	    <Placemark>
   322	      <name>Avenir Tourisme</name>
   323	      <description><![CDATA[<b>Avenir Tourisme</b><br/>Cat&eacute;gorie&nbsp;: Tours et infos touristiques<br/><a href="https://example.org/poi/44">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-09-13]]></description>
   324	      <Point>
   325	        <coordinates>2.358040,48.868509,0</coordinates>
   326	      </Point>
   327	    </Placemark>
   328	  </Folder>
   329	</Document>
   330	</kml>
0:29 
Let me analyze the KML structure:

1. It's a KML file with a Document containing Folders.
2. Each Folder has a name (like "Cafés ouverts tard", "Bibliothèques de nuit", "Tours et infos touristiques").
3. Each Placemark has a `<name>` and a `<description>` with HTML CDATA content.
4. The description contains:
   - `<b>Name</b>` - the name
   - `Catégorie : {Folder name}` - the category
   - A link
   - `Dernière vérification : YYYY-MM-DD` - the last verified date

My task:
1. Convert to GeoJSON at `/work/paris_pois.geojson`
2. One row per placemark
3. Keep `name` column
4. Include category from the Folder name (or extract from the description)
5. Extract `verified_date` as an ISO date from the description
6. Flag stale records - I'll need to determine what's "stale". Records verified more than 2 years ago, or maybe some other criteria. Let me think... the dates range from 2026-01-01 to 2026-12-26. These are all future dates relative to now (2025), so none would be stale by a simple "older than 2 years" test. But the user says "We want to flag stale records" - I'll add a `stale` boolean column. Let me define stale as "last verified more than 2 years ago" from the current date, or maybe if it's more than 1 year old. Since all dates are in 2026, and current date would be ~2025, none would be stale... unless I use a reference date. Let me re-read: "pull each entry's 'last verified' date out of the HTML blurb into a verified_date column". The dates are in 2026 which is in the future from now. Let me just use a sensible threshold - perhaps verified more than 2 years before the most recent date in the dataset, or use a threshold of 2024-01-01. Actually, let me think about what makes sense.

Since today's date is in 2025, and all dates are in 2026, none would be stale based on current date. But I think the instruction wants me to flag records that haven't been verified recently. Let me use a threshold like "older than 1 year from today" or something reasonable. Since all dates are in 2026, I think the best approach is to flag records where the verified_date is more than 2 years ago from the current date. But since that wouldn't flag any... let me just use a reasonable approach: compute today's date and flag those older than 365 days from today. The dataset dates are all in 2026 which is future, so none would be stale. But maybe I should just use a reference date and add a `stale` flag.

Actually, let me just use a practical approach. Let me check current date. The data has dates in 2026, which is next year. So I'll just compute based on now (date when this script runs). Let me use: stale = verified_date is more than 2 years ago. Since all dates are future, none will be stale. But that seems correct given the data.

Wait, let me re-read: "We want to flag stale records." - maybe stale = records where verified_date is older than 1 year from today. Let me check the current date.

Let me just write the script and compute a boolean `stale` column. I'll define stale as "verified more than 2 years ago from today". With 2026 dates, none will be stale, but the flag infrastructure will be there.

Actually, a common definition in GIS/POI contexts: stale = not verified in the last 2 years. So `(today - verified_date).days > 730`. That works.

Let me also look at the category extraction. The `<description>` has `Catégorie : Cafés ouverts tard` etc. I could extract from the Folder name (which is more reliable since the Folder name IS the category), or from the description text. The folder name is the category/grouping. Let me use the Folder name since that's the source's classification/grouping.

Wait, actually the description says "Catégorie : {Folder name}" - so the Folder name is the category.

Now let me write the script using Python with KML parsing.

I'll use `geopandas` to read the KML directly. Let me check if geopandas can handle KML.

Geopandas can read KML via fiona driver. Let me try `gpd.read_file('paris_late_night_pois.kml', driver='KML')`.

From the KML structure, geopandas will read each Placemark as a row. The Folder names get mapped to the Name field of the Folder. Let me check if geopandas preserves the hierarchy.

Actually, with KML, geopandas usually flattens it. The folder names might be in a "Name" column or might not be preserved directly. Let me use a different approach - parse the KML with an XML parser (ElementTree) to extract everything manually.

Let me use `lxml` or `xml.etree.ElementTree` to parse the KML, extract all Placemarks, their names, folder names (categories), coordinates, and verified dates.

Plan:
1. Parse KML with ElementTree
2. For each Folder, get the folder name
3. For each Placemark in that folder, extract:
   - name
   - coordinates (lon, lat)
   - category (folder name)
   - verified_date from description using regex
4. Create a GeoDataFrame
5. Add a `stale` boolean column (verified_date older than 2 years from today)
6. Save as GeoJSON

Let me write the script.
0:29
Write /work/solve.py
content · 76 lines · py 
import re
import xml.etree.ElementTree as ET
from datetime import datetime, timezone, timedelta

import geopandas as gpd
import pandas as pd
from shapely.geometry import Point

KML_PATH = "/work/paris_late_night_pois.kml"
GEOJSON_PATH = "/work/paris_pois.geojson"

NS = {"kml": "http://www.opengis.net/kml/2.2"}

tree = ET.parse(KML_PATH)
root = tree.getroot()

doc = root.find("kml:Document", NS)
if doc is None:
    doc = root  # fallback if there's no Document wrapper

records = []

for folder in doc.findall("kml:Folder", NS):
    category_el = folder.find("kml:name", NS)
    category = category_el.text.strip() if category_el is not None else "Uncategorised"

    for placemark in folder.findall("kml:Placemark", NS):
        # Name
        name_el = placemark.find("kml:name", NS)
        name = name_el.text.strip() if name_el is not None else ""

        # Coordinates
        coord_el = placemark.find(".//kml:coordinates", NS)
        if coord_el is not None and coord_el.text:
            parts = coord_el.text.strip().split(",")
            lon, lat = float(parts[0]), float(parts[1])
        else:
            continue  # skip placemarks without coordinates

        # Description -> extract verified date
        desc_el = placemark.find("kml:description", NS)
        verified_date = None
        if desc_el is not None and desc_el.text:
            # Pattern: "Dernière vérification : YYYY-MM-DD"
            m = re.search(r"Derni[èe]re v[ée]rification\s*:\s*(\d{4}-\d{2}-\d{2})", desc_el.text)
            if m:
                verified_date = m.group(1)

        records.append({
            "name": name,
            "category": category,
            "verified_date": verified_date,
            "geometry": Point(lon, lat),
        })

gdf = gpd.GeoDataFrame(records, crs="EPSG:4326")

# Convert verified_date to datetime for calculations
today = datetime.now(timezone.utc).date()
two_years_ago = today - timedelta(days=730)

gdf["verified_date"] = pd.to_datetime(gdf["verified_date"]).dt.date

gdf["stale"] = gdf["verified_date"].apply(
    lambda d: d < two_years_ago if pd.notna(d) else True
)

# Write GeoJSON
gdf.to_file(GEOJSON_PATH, driver="GeoJSON")

print(f"Wrote {len(gdf)} features to {GEOJSON_PATH}")
print(f"Columns: {list(gdf.columns)}")
print(f"CRS: {gdf.crs}")
print(f"Stale records: {gdf['stale'].sum()}")
print(f"Categories: {gdf['category'].value_counts().to_dict()}")
print(f"Date range: {gdf['verified_date'].min()} to {gdf['verified_date'].max()}")
Wrote /work/solve.py (2491 chars).
0:39 
Let me run the script to see if it works.
0:39
Bash cd /work && python solve.py 
Wrote 45 features to /work/paris_pois.geojson
Columns: ['name', 'category', 'verified_date', 'geometry', 'stale']
CRS: EPSG:4326
Stale records: 45
Categories: {'Cafés ouverts tard': 20, 'Bibliothèques de nuit': 15, 'Tours et infos touristiques': 10}
Date range: NaT to NaT
0:57 
The issue is that `verified_date` is showing as NaT. Let me debug. The `pd.to_datetime` conversion to `.date` is producing NaT. Let me check the datatype issue.

The problem is `pd.to_datetime(gdf["verified_date"]).dt.date` — the `.date` converts to Python date objects, but the column type becomes object. Then when I apply the lambda with `pd.notna(d)`, NaT from to_datetime becomes `pd.NaT`, but after `.dt.date` it might become `None` or something odd. Also, the stale count is 45 out of 45 because NaT is treated as stale (True). Let me inspect the data.

Wait, the date range says NaT to NaT, meaning none of the dates parsed. Let me check the column values before the conversion.

Actually, `gdf["verified_date"]` comes in as strings like "2026-01-01". Then `pd.to_datetime()` converts those. Then `.dt.date` extracts the date portion. That should work fine...

Let me re-examine: the issue might be that after `.dt.date`, the column becomes object dtype with Python date objects, and then when writing to GeoJSON, they get serialized differently. But the output says "Date range: NaT to NaT", which means the min/max calculation on the date objects is failing.

Wait, after `.dt.date`, the values are Python `date` objects, not NaT. `min()` and `max()` on an object column of dates should work... but `gdf['verified_date'].min()` might return something odd.

Actually, looking more carefully: when I do `gdf["verified_date"] = pd.to_datetime(gdf["verified_date"]).dt.date`, some values might not have parsed. Let me check if the regex was actually matching. The description text includes `Derni&egrave;re v&eacute;rification`. In the CDATA, it's HTML-encoded. So `è` is `&egrave;` and `é` is `&eacute;`.

My regex `r"Derni[èe]re v[ée]rification\s*:\s*(\d{4}-\d{2}-\d{2})"` looks for the actual unicode characters è and é, but the text content from the XML parser will decode the HTML entities. So `&egrave;` becomes `è` and `&eacute;` becomes `é`. But wait — is the XML parser decoding the HTML entities inside the CDATA? No! CDATA sections are literal text — XML entities inside CDATA are NOT parsed by the XML parser. So `&egrave;` remains as the literal string `&egrave;` in the text.

So the description text will contain `Derni&egrave;re v&eacute;rification` not `Dernière vérification`.

I need to also decode HTML entities. Let me use `html.unescape()` to handle this.
0:57
0:57
Edit /work/solve.py 
Edited /work/solve.py.
1:06 
The issue is that the verified_date column is all NaT. Let me check - the CDATA text contains HTML entities like `&eacute;`, `&egrave;`, `&nbsp;` which are literal in the XML text. I need to HTML-unescape it before regex matching.

Let me also check why `verified_date` is NaT. The regex is looking for "Dernière vérification" but the text has HTML entities. Let me look at the description text more carefully.

From line 9:
```
<description><![CDATA[<b>% Arabica</b><br/>Cat&eacute;gorie&nbsp;: Cafés ouverts tard<br/><a href="https://example.org/poi/0">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-01-01]]></description>
```

The `desc_el.text` will contain the raw CDATA text. So I need to `html.unescape()` it first. Let me fix the regex matching to use the HTML-decoded text.
1:06
Edit /work/solve.py 
Edited /work/solve.py.
1:25 
Let me also check the stale logic. All dates are in 2026, so they're all in the future relative to today. That means today - 730 days would be sometime in 2023 or so, so 2026 dates are all > two_years_ago, meaning `d < two_years_ago` would be False for all. Wait, but my code had `pd.notna(d)`. The dates are in 2026 - all future dates. So they aren't stale. But the output said "Stale records: 45" which means something went wrong.

Looking at the output more carefully:
- `Stale records: 45` — all 45 are stale? That can't be right if dates are in 2026.
- `Date range: NaT to NaT` — the verified_date column is all NaT!

The issue is that `pd.to_datetime(gdf["verified_date"]).dt.date` is returning NaT. Let me check: `pd.to_datetime` with a list of strings like "2026-01-01" should work fine. But wait, the `verified_date` values are strings like "2026-01-01" — let me check that the regex is actually matching.

Let me check: the description has HTML entities like `Derni&egrave;re v&eacute;rification`. When I do `html.unescape()`, `&egrave;` becomes `è` and `&eacute;` becomes `é`. So the decoded text would contain "Dernière vérification". The regex `Derni[èe]re v[ée]rification` should match.

But wait, the CDATA text is `Derni&egrave;re v&eacute;rification`. When parsed by ElementTree, the CDATA text IS the text content, so `desc_el.text` would be the raw string including `Derni&egrave;re...`. Let me check if ElementTree properly handles CDATA...

Actually, I think the issue might be that ElementTree strips CDATA differently. Let me trace through the problem.

Looking at the raw description:
```
<![CDATA[<b>% Arabica</b><br/>Cat&eacute;gorie&nbsp;: Cafés ouverts tard<br/><a href="https://example.org/poi/0">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-01-01]]>
```

When XML is parsed, CDATA sections are treated as character data. So `desc_el.text` should be:
`<b>% Arabica</b><br/>Cat&eacute;gorie&nbsp;: Cafés ouverts tard<br/><a href="https://example.org/poi/0">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-01-01`

And `html.unescape()` would convert `&eacute;` to `é`, `&egrave;` to `è`, `&nbsp;` to non-breaking space.

So decoded would be: `<b>% Arabica</b><br/>Catégorie : Cafés ouverts tard<br/><a href="https://example.org/poi/0">Voir la fiche</a><br/>Dernière vérification : 2026-01-01`

The regex `Derni[èe]re v[ée]rification\s*:\s*(\d{4}-\d{2}-\d{2})` should match this. But wait — the regex uses `\s*:\s*` and the actual text has ` : ` (space-colon-space). Let me check: the original CDATA shows `: 2026-01-01` so there's a colon followed by a space. The `\s*:\s*` should match ` : `.

Hmm, but let me re-read the raw text more carefully. The CDATA is:
`Derni&egrave;re v&eacute;rification&nbsp;: 2026-01-01`

After unescape: `Dernière vérification : 2026-01-01` (with `&nbsp;` becoming a non-breaking space \xa0, then `:`)

So the `\s*` would match `\xa0` (non-breaking space) — is `\s*` matching `\xa0`? In Python, `\s` matches `\xa0` only in Python 3. Let me check... Actually in Python 3, `\s` does NOT match `\xa0` (non-breaking space). That could be the issue!

Wait, let me re-check. The regex `\s*` after `vérification` — I have `Derni[èe]re v[ée]rification\s*:\s*`. After `vérification`, there's `\xa0` (from `&nbsp;`), then `:`. So the `\s*` needs to match `\xa0`. In Python, `\s` matches `[ \t\n\r\f\v]` but NOT `\xa0`.

So the issue is that the non-breaking space `&nbsp;` becomes `\xa0` after unescaping, and `\s` doesn't match `\xa0`.

Let me fix the regex to handle this. I'll replace `\s*` with `[ \t\n\r\f\v\xa0]*` or I can just be more flexible.

Actually wait, let me look at the regex again more carefully:

```python
r"Derni[èe]re v[ée]rification\s*:\s*(\d{4}-\d{2}-\d{2})"
```

After `vérification` we have `\xa0` (from `&nbsp;`), then `:`, then space, then date.

So the `\s*` before `:` needs to match `\xa0`. If `\s` doesn't match `\xa0`, the regex fails.

Let me just use `[:\xa0 ]` or `.*?` approach to be safe. Or simpler: just search for the date pattern after "vérification".

Let me simplify: just search for the date pattern in the decoded description, since the date format is quite specific.
1:25
1:25
Bash cd /work && python3 -c " 
cd /work && python3 -c "
import html
import re

text = '<b>% Arabica</b><br/>Cat&eacute;gorie&nbsp;: Cafés ouverts tard<br/><a href=\"https://example.org/poi/0\">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-01-01'
decoded = html.unescape(text)
print(repr(decoded))
# Check if \s matches \xa0
import re
print(repr('\xa0'))
print(re.escape('\xa0'))
print(bool(re.match(r'\s', '\xa0')))
"
'<b>% Arabica</b><br/>Catégorie\xa0: Cafés ouverts tard<br/><a href="https://example.org/poi/0">Voir la fiche</a><br/>Dernière vérification\xa0: 2026-01-01'
'\xa0'
 
True
1:30 
`\s` matches `\xa0` (non-breaking space). But wait - `\s` does match `\xa0` in Python 3. The regex pattern `\s*:\s*` should work. Let me test the full regex.
1:30
Bash cd /work && python3 -c " 
cd /work && python3 -c "
import html, re
text = '<b>% Arabica</b><br/>Cat&eacute;gorie&nbsp;: Cafés ouverts tard<br/><a href=\"https://example.org/poi/0\">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-01-01'
decoded = html.unescape(text)
print('Looking at:', repr(decoded[-50:]))
m = re.search(r'v[eé]rification\s*:\s*(\d{4}-\d{2}-\d{2})', decoded)
print('Match:', m)
if m:
    print('Group1:', m.group(1))
else:
    # try simpler
    m2 = re.search(r'(\d{4}-\d{2}-\d{2})', decoded)
    print('Date match:', m2.group(0) if m2 else None)
"
Looking at: 'a fiche</a><br/>Dernière vérification\xa0: 2026-01-01'
Match: <re.Match object; span=(123, 148), match='vérification\xa0: 2026-01-01'>
Group1: 2026-01-01
1:54 
The regex works fine! The issue must be that the `desc_el.text` is None or empty. Let me check what `desc_el.text` contains — in XML with CDATA, `Element.text` should contain the CDATA content. Let me debug more carefully.
1:54
Bash cd /work && python3 -c " 
cd /work && python3 -c "
import xml.etree.ElementTree as ET

NS = {'kml': 'http://www.opengis.net/kml/2.2'}
tree = ET.parse('/work/paris_late_night_pois.kml')
root = tree.getroot()
doc = root.find('kml:Document', NS)
folder = doc.find('kml:Folder', NS)
pm = folder.find('kml:Placemark', NS)
desc = pm.find('kml:description', NS)
print('desc:', repr(desc))
print('text:', repr(desc.text))
print('len:', len(desc.text) if desc.text else None)
"
desc: <Element '{http://www.opengis.net/kml/2.2}description' at 0x7ff9b6305030>
text: '<b>% Arabica</b><br/>Cat&eacute;gorie&nbsp;: Cafés ouverts tard<br/><a href="https://example.org/poi/0">Voir la fiche</a><br/>Derni&egrave;re v&eacute;rification&nbsp;: 2026-01-01'
len: 179
2:01 
The issue is that ElementTree doesn't return CDATA content in `.text` by default when parsing. Let me check what's actually happening... Actually, it does seem to return the content. Let me look at the actual text returned - it shows the HTML entities including `&eacute;` etc. So `.text` does have the content.

The earlier issue was that the regex was matching `è` directly (unescaped) but the text had `&egrave; ` etc. So the `html.unescape` should fix it.

But wait - the earlier run showed "Date range: NaT to NaT" - meaning the regex wasn't matching at all. Let me check what happened more carefully. 

Actually, looking at the first run - the description text contains `&egrave;` and `&eacute;` which are HTML entities. The regex had `è` and `é` which are the literal characters. Since the text has the entities, not the decoded characters, the match fails.

My fix adds `html.unescape()` which should convert `&egrave;`→`è`, `&eacute;`→`é`, `&nbsp;`→`\xa0`. The `\s*` should match `\xa0`, so the regex should work now.

Let me run it again.
2:01
Bash cd /work && python solve.py 
Wrote 45 features to /work/paris_pois.geojson
Columns: ['name', 'category', 'verified_date', 'geometry', 'stale']
CRS: EPSG:4326
Stale records: 0
Categories: {'Cafés ouverts tard': 20, 'Bibliothèques de nuit': 15, 'Tours et infos touristiques': 10}
Date range: 2026-01-01 to 2026-12-26
2:12 
Now the dates are working. But all records are showing as not stale (stale records: 0). Let me check the logic. 

The dates are all in 2026, and today is likely sometime in 2025 (or 2024, depending on the system time). If all dates are in the future relative to today, none would be stale (older than 2 years). Let me verify the current date on this system and adjust the logic.

Actually, re-reading the requirement: "We want to flag stale records." The user just asked me to flag them — they said "pull each entry's 'last verified' date out of the HTML blurb into a verified_date column as an ISO date. We want to flag stale records." So I should add some kind of flag. But what constitutes "stale"? 

Since all dates are in 2026 and it's currently 2025, none of them would be "stale" by a 2-year threshold. Let me check the system date.

Actually, the user didn't specify what "stale" means. I'll use a reasonable threshold (e.g., last verified more than 2 years ago), which for data verified in 2026 from a 2025 perspective means none are stale. That's correct behavior.

But wait - maybe the system time is different. Let me check.
2:12
2:12
Bash date 
Thu Jun 18 14:19:31 UTC 2026
2:19 
The current date is 2026-06-18. Two years ago would be 2024-06-18. All verified dates are in 2026 (2026-01-01 to 2026-12-26), so none are >2 years old. That's correct — stale = 0. The user asked to flag stale records, and I've added a `stale` boolean column.

But wait - the user said "We want to flag stale records." They didn't explicitly say they want a stale column. They said "pull each entry's 'last verified' date... into a verified_date column as an ISO date. We want to flag stale records." So flagging could mean just the verified_date being present so they can determine staleness. But I think adding a `stale` boolean is useful.

Let me verify the GeoJSON output looks correct.
2:19
2:19
Read /work/paris_pois.geojson 
     1	{
     2	"type": "FeatureCollection",
     3	"name": "paris_pois",
     4	"crs": { "type": "name", "properties": { "name": "urn:ogc:def:crs:OGC:1.3:CRS84" } },
     5	"features": [
     6	{ "type": "Feature", "properties": { "name": "% Arabica", "category": "Cafés ouverts tard", "verified_date": "2026-01-01", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.324676, 48.854156 ] } },
     7	{ "type": "Feature", "properties": { "name": "1T. rue Scribe", "category": "Cafés ouverts tard", "verified_date": "2026-08-14", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.329774, 48.870581 ] } },
     8	{ "type": "Feature", "properties": { "name": "1ndix Café", "category": "Cafés ouverts tard", "verified_date": "2026-03-27", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.341361, 48.880764 ] } },
     9	{ "type": "Feature", "properties": { "name": "2 Steps Café", "category": "Cafés ouverts tard", "verified_date": "2026-10-12", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.376626, 48.866261 ] } },
    10	{ "type": "Feature", "properties": { "name": "3234 Café - Trente Deux Trente Quatre", "category": "Cafés ouverts tard", "verified_date": "2026-05-25", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.376249, 48.853167 ] } },
    11	{ "type": "Feature", "properties": { "name": "360 Cafe", "category": "Cafés ouverts tard", "verified_date": "2026-12-10", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.321838, 48.842293 ] } },
    12	{ "type": "Feature", "properties": { "name": "3w Cafe Paris", "category": "Cafés ouverts tard", "verified_date": "2026-07-23", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.32753, 48.85156 ] } },
    13	{ "type": "Feature", "properties": { "name": "48 Collagen Caf√©", "category": "Cafés ouverts tard", "verified_date": "2026-02-08", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.34046, 48.87484 ] } },
    14	{ "type": "Feature", "properties": { "name": "86 Champs Elysées", "category": "Cafés ouverts tard", "verified_date": "2026-09-21", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.303767, 48.871387 ] } },
    15	{ "type": "Feature", "properties": { "name": "A la Ville de Paris", "category": "Cafés ouverts tard", "verified_date": "2026-04-06", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.34428, 48.87053 ] } },
    16	{ "type": "Feature", "properties": { "name": "A minima cafe", "category": "Cafés ouverts tard", "verified_date": "2026-11-19", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.38129, 48.8453 ] } },
    17	{ "type": "Feature", "properties": { "name": "AD DictCafé", "category": "Cafés ouverts tard", "verified_date": "2026-06-04", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.390577, 48.849002 ] } },
    18	{ "type": "Feature", "properties": { "name": "ANGIOLO", "category": "Cafés ouverts tard", "verified_date": "2026-01-17", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.331682, 48.854538 ] } },
    19	{ "type": "Feature", "properties": { "name": "Abaita", "category": "Cafés ouverts tard", "verified_date": "2026-08-02", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.368446, 48.864406 ] } },
    20	{ "type": "Feature", "properties": { "name": "Absinthe Café", "category": "Cafés ouverts tard", "verified_date": "2026-03-15", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.357228, 48.865564 ] } },
    21	{ "type": "Feature", "properties": { "name": "Acai & You", "category": "Cafés ouverts tard", "verified_date": "2026-10-28", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.339001, 48.854247 ] } },
    22	{ "type": "Feature", "properties": { "name": "Adulis Cafe Abyssinien", "category": "Cafés ouverts tard", "verified_date": "2026-05-13", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.346929, 48.851763 ] } },
    23	{ "type": "Feature", "properties": { "name": "After Place", "category": "Cafés ouverts tard", "verified_date": "2026-12-26", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.336121, 48.864266 ] } },
    24	{ "type": "Feature", "properties": { "name": "After Place", "category": "Cafés ouverts tard", "verified_date": "2026-07-11", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.351101, 48.862294 ] } },
    25	{ "type": "Feature", "properties": { "name": "After Place", "category": "Cafés ouverts tard", "verified_date": "2026-02-24", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.36156, 48.8695 ] } },
    26	{ "type": "Feature", "properties": { "name": "AUP Housing", "category": "Bibliothèques de nuit", "verified_date": "2026-09-09", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.306008, 48.861754 ] } },
    27	{ "type": "Feature", "properties": { "name": "Academie de Medical", "category": "Bibliothèques de nuit", "verified_date": "2026-04-22", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.334208, 48.856342 ] } },
    28	{ "type": "Feature", "properties": { "name": "Ancêtres Italiens", "category": "Bibliothèques de nuit", "verified_date": "2026-11-07", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.363314, 48.873246 ] } },
    29	{ "type": "Feature", "properties": { "name": "Apfelbaum Library", "category": "Bibliothèques de nuit", "verified_date": "2026-06-20", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.330685, 48.849518 ] } },
    30	{ "type": "Feature", "properties": { "name": "Archives de l'AP-HP", "category": "Bibliothèques de nuit", "verified_date": "2026-01-05", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.366407, 48.857094 ] } },
    31	{ "type": "Feature", "properties": { "name": "Arthur Rimbaud Library", "category": "Bibliothèques de nuit", "verified_date": "2026-08-18", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.355874, 48.856134 ] } },
    32	{ "type": "Feature", "properties": { "name": "Association Bibliotheque Braille Enfantine", "category": "Bibliothèques de nuit", "verified_date": "2026-03-03", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.372404, 48.868038 ] } },
    33	{ "type": "Feature", "properties": { "name": "Association Francaise de Therapie", "category": "Bibliothèques de nuit", "verified_date": "2026-10-16", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.308679, 48.87096 ] } },
    34	{ "type": "Feature", "properties": { "name": "Attractive", "category": "Bibliothèques de nuit", "verified_date": "2026-05-01", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.326704, 48.866369 ] } },
    35	{ "type": "Feature", "properties": { "name": "BNF", "category": "Bibliothèques de nuit", "verified_date": "2026-12-14", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.338076, 48.867811 ] } },
    36	{ "type": "Feature", "properties": { "name": "BPI Bibliotheque Publique D Information", "category": "Bibliothèques de nuit", "verified_date": "2026-07-27", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.352378, 48.859478 ] } },
    37	{ "type": "Feature", "properties": { "name": "BPI-Beaubourg", "category": "Bibliothèques de nuit", "verified_date": "2026-02-12", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.351867, 48.860532 ] } },
    38	{ "type": "Feature", "properties": { "name": "Beaubourg Librairie des Arts", "category": "Bibliothèques de nuit", "verified_date": "2026-09-25", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.356791, 48.865189 ] } },
    39	{ "type": "Feature", "properties": { "name": "Bib Cent du Service de Sante Des Armees", "category": "Bibliothèques de nuit", "verified_date": "2026-04-10", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.341252, 48.841187 ] } },
    40	{ "type": "Feature", "properties": { "name": "Bibliothe que Centrale - Muse'um national d'histoire naturelle (MNHN)", "category": "Bibliothèques de nuit", "verified_date": "2026-11-23", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.355838, 48.84266 ] } },
    41	{ "type": "Feature", "properties": { "name": "24hourstravel", "category": "Tours et infos touristiques", "verified_date": "2026-06-08", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.34781, 48.864739 ] } },
    42	{ "type": "Feature", "properties": { "name": "2CVPrivateParis", "category": "Tours et infos touristiques", "verified_date": "2026-01-21", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.337967, 48.889998 ] } },
    43	{ "type": "Feature", "properties": { "name": "382444404", "category": "Tours et infos touristiques", "verified_date": "2026-08-06", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.32691, 48.87068 ] } },
    44	{ "type": "Feature", "properties": { "name": "A French Frye in Paris", "category": "Tours et infos touristiques", "verified_date": "2026-03-19", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.34083, 48.86124 ] } },
    45	{ "type": "Feature", "properties": { "name": "Aeon Tours of Paris", "category": "Tours et infos touristiques", "verified_date": "2026-10-04", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.35859, 48.86378 ] } },
    46	{ "type": "Feature", "properties": { "name": "Agence ORNIcom : location de gyropode Segway à Paris et sur toute la France", "category": "Tours et infos touristiques", "verified_date": "2026-05-17", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.303244, 48.852662 ] } },
    47	{ "type": "Feature", "properties": { "name": "Al Abrar Voyages", "category": "Tours et infos touristiques", "verified_date": "2026-12-02", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.31277, 48.88631 ] } },
    48	{ "type": "Feature", "properties": { "name": "Allison Zinder", "category": "Tours et infos touristiques", "verified_date": "2026-07-15", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.398851, 48.862635 ] } },
    49	{ "type": "Feature", "properties": { "name": "Association Touristique Cheminots", "category": "Tours et infos touristiques", "verified_date": "2026-02-28", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.371287, 48.846263 ] } },
    50	{ "type": "Feature", "properties": { "name": "Avenir Tourisme", "category": "Tours et infos touristiques", "verified_date": "2026-09-13", "stale": false }, "geometry": { "type": "Point", "coordinates": [ 2.35804, 48.868509 ] } }
    51	]
    52	}
2:24 
The output looks good. Let me check:

1. ✅ Output file `paris_pois.geojson` exists
2. ✅ `name` column present
3. ✅ `category` column — holds the Folder name from the KML (the classification/grouping)
4. ✅ `verified_date` as ISO date (YYYY-MM-DD string)
5. ✅ `stale` flag — all records are 2026 dates, and today is 2026-06-18, so 2 years ago is 2024-06-18. All dates are 2026 so none are stale. That's correct.

Coordinates look right — lon ~2.3, lat ~48.85, which is Paris in EPSG:4326 (WGS84 degrees). Good.

Let me also verify the line count and file existence.
2:24
2:24
Bash cd /work && python3 -c " 
cd /work && python3 -c "
import geopandas as gpd
gdf = gpd.read_file('paris_pois.geojson')
print('Shape:', gdf.shape)
print('Columns:', list(gdf.columns))
print('Types:')
print(gdf.dtypes)
print()
print('Stale counts:', gdf['stale'].value_counts().to_dict())
print()
print('Categories:')
print(gdf['category'].value_counts())
print()
print('Sample verified_dates:', gdf['verified_date'].head(3).tolist())
print()
# Check coords make sense
import geopandas as gpd
print('Bounds:', gdf.total_bounds)  # ~2.3, 48.84, 2.4, 48.89 — Paris
"
Shape: (45, 5)
Columns: ['name', 'category', 'verified_date', 'stale', 'geometry']
Types:
name                        str
category                    str
verified_date    datetime64[ms]
stale                      bool
geometry               geometry
dtype: object

Stale counts: {False: 45}

Categories:
category
Cafés ouverts tard             20
Bibliothèques de nuit          15
Tours et infos touristiques    10
Name: count, dtype: int64

Sample verified_dates: [Timestamp('2026-01-01 00:00:00'), Timestamp('2026-08-14 00:00:00'), Timestamp('2026-03-27 00:00:00')]

Bounds: [ 2.303244 48.841187  2.398851 48.889998]
2:36 
The conversion is complete and correct. Let me verify the requirements one more time:

1. ✅ Convert KML to flat GeoJSON → `paris_pois.geojson`
2. ✅ One row per placemark → 45 features
3. ✅ Keep `name` column
4. ✅ Source's classification/grouping as `category` column → "Cafés ouverts tard", "Bibliothèques de nuit", "Tours et infos touristiques"
5. ✅ `verified_date` as ISO date → YYYY-MM-DD format
6. ✅ Stale flag → `stale` boolean column. Since all dates are in 2026 and today is June 18, 2026, none are >2 years old, so all show `false`. That's correct.

Bounds check: 2.303–2.399°E, 48.841–48.890°N — that's Paris. Good.

File exists at `/work/paris_pois.geojson`. All good!
2:36