fio-l1-paris-kml-pois

Status: done
Score: 0.000
Duration: 2:02
Cost: 0.72¢
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"
}
0:10 
Let me start by exploring what `paris_late_night_pois` is. It could be a file or a dataset. Let me look in the working directory.
0:10
Bash ls -la /work/ 
total 20
drwxr-xr-x 1 agent agent    50 Jun 18 06:06 .
drwxr-xr-x 1 root  root     14 Jun 18 06:06 ..
-rw-r--r-- 1 agent agent 18305 Jun 18 06:06 paris_late_night_pois.kml
0:14 
Let me first examine the KML file to understand its structure.
0:14
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>
0:24 
Now I understand the structure. The KML file has:

1. A Document with Folders (each Folder has a `<name>` which is the category/grouping)
2. Each Placemark has: `<name>`, `<description>` (HTML inside CDATA), and `<Point><coordinates>`
3. The description contains:
   - `<b>Name</b>` (same as name)
   - `Catégorie : <category name>` (same as folder name)
   - A link
   - `Dernière vérification : <date>` (last verified date)

I need to:
1. Parse the KML
2. For each Placemark, extract:
   - `name` from `<name>` element
   - `category` from the parent Folder's `<name>`
   - `verified_date` from the description HTML - extract the date after "Dernière vérification : "
   - Geometry (Point with coordinates)
3. Write to `paris_pois.geojson` as a FeatureCollection

Let me write a Python script using the KML parsing capabilities. I'll use `lxml` or just parse it with standard libraries since it's fairly simple XML.

Actually, I can use `geopandas` with KML driver, but KML support in GeoPandas/Fiona can be tricky. Let me use a straightforward approach: parse the XML with Python's `xml.etree.ElementTree` and create a GeoJSON manually.

Let me check if there's a namespace issue - the KML uses `xmlns="http://www.opengis.net/kml/2.2"`.

Let me write the script.
0:24
Write /work/solve.py
content · 57 lines · py 
import xml.etree.ElementTree as ET
import re
import json

KML_FILE = "/work/paris_late_night_pois.kml"
OUTPUT = "/work/paris_pois.geojson"

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

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

doc = root.find("kml:Document", ns)

features = []

for folder in doc.findall("kml:Folder", ns):
    category = folder.findtext("kml:name", "", ns)
    for placemark in folder.findall("kml:Placemark", ns):
        name = placemark.findtext("kml:name", "", ns)
        desc = placemark.findtext("kml:description", "", ns)
        
        # Extract verified date from description HTML
        # Pattern: Dernière vérification : YYYY-MM-DD
        # Also possible: Derni&egrave;re v&eacute;rification
        match = re.search(r'Derni[èe]re\s+v[ée]rification\s*:\s*(\d{4}-\d{2}-\d{2})', desc)
        verified_date = match.group(1) if match else None
        
        # Extract coordinates
        point = placemark.find("kml:Point", ns)
        coords_text = point.findtext("kml:coordinates", "0,0,0", ns).strip()
        lon_str, lat_str, *_ = coords_text.split(",")
        lon, lat = float(lon_str), float(lat_str)
        
        feature = {
            "type": "Feature",
            "geometry": {
                "type": "Point",
                "coordinates": [lon, lat]
            },
            "properties": {
                "name": name,
                "category": category,
                "verified_date": verified_date
            }
        }
        features.append(feature)

fc = {
    "type": "FeatureCollection",
    "features": features
}

with open(OUTPUT, "w", encoding="utf-8") as f:
    json.dump(fc, f, ensure_ascii=False, indent=2)

print(f"Wrote {len(features)} features to {OUTPUT}")
Wrote /work/solve.py (1750 chars).
0:28 
Let me run the script.
0:28
Bash cd /work && python solve.py 
Wrote 45 features to /work/paris_pois.geojson
0:32 
Let me verify the output looks correct.
0:32
Bash cd /work && python -c " 
cd /work && python -c "
import json
with open('paris_pois.geojson') as f:
    d = json.load(f)
print('Number of features:', len(d['features']))
print()
for feat in d['features'][:3]:
    print(feat['properties'])
    print(feat['geometry'])
    print()
# Check last entry
print('Last feature:')
print(d['features'][-1]['properties'])
print(d['features'][-1]['geometry'])
"
Number of features: 45

{'name': '% Arabica', 'category': 'Cafés ouverts tard', 'verified_date': None}
{'type': 'Point', 'coordinates': [2.324676, 48.854156]}

{'name': '1T. rue Scribe', 'category': 'Cafés ouverts tard', 'verified_date': None}
{'type': 'Point', 'coordinates': [2.329774, 48.870581]}

{'name': '1ndix Café', 'category': 'Cafés ouverts tard', 'verified_date': None}
{'type': 'Point', 'coordinates': [2.341361, 48.880764]}

Last feature:
{'name': 'Avenir Tourisme', 'category': 'Tours et infos touristiques', 'verified_date': None}
{'type': 'Point', 'coordinates': [2.35804, 48.868509]}
0:44 
The verified_date is None for all records. The HTML in the KML contains HTML entities like `&egrave;` and `&eacute;`. Let me check the actual text that's being parsed. The `ET.parse` will decode the XML entities, so `&egrave;` becomes `è` and `&eacute;` becomes `é`. But my regex uses `[èe]` and `[ée]` which should match both the plain text and the encoded versions. Let me debug by printing out some descriptions.
0:44
Bash cd /work && python -c " 
cd /work && python -c "
import xml.etree.ElementTree as ET
ns = {'kml': 'http://www.opengis.net/kml/2.2'}
tree = ET.parse('paris_late_night_pois.kml')
root = tree.getroot()
placemark = root.find('.//kml:Placemark', ns)
desc = placemark.findtext('kml:description', '', ns)
print(repr(desc))
"
'<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'
0:53 
The issue is that the description contains HTML entities like `&eacute;` and `&egrave;re` and `&nbsp;`. The regex is looking for characters like `è` (Unicode) but the XML text has `&egrave;` entity reference which XML parser resolves. Let me check what the XML parser actually returns.

Looking at the output: `'<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'`

Wait, the XML parser returns the text with the HTML entities still inside the CDATA section. Since CDATA is a character data section, the XML parser does not parse the entities inside it - it returns them as-is. So the text contains `&egrave;` not `è`.

So my regex with `Derni[èe]re\s+v[ée]rification` won't match because the text has `Derni&egrave;re v&eacute;rification`.

I need to match the HTML entity versions. Let me update the regex.
0:53
0:53
Edit /work/solve.py 
Edited /work/solve.py.
0:57 
Wait, I also need to consider that the text might be in Unicode form or entity form. Looking at the raw XML:

`Derni&egrave;re v&eacute;rification&nbsp;: 2026-01-01`

So the entities are `&egrave;` (è), `&eacute;` (é), `&nbsp;` (non-breaking space). My regex should handle both the decoded and entity forms. Let me also check - the XML parser doesn't decode HTML entities inside CDATA, so the raw text will contain `&egrave;` etc.

Let me update the regex and re-run.
0:57
Bash cd /work && python solve.py 
Wrote 45 features to /work/paris_pois.geojson
1:03
Bash cd /work && python -c " 
cd /work && python -c "
import json
with open('paris_pois.geojson') as f:
    d = json.load(f)
for feat in d['features'][:3]:
    print(feat['properties'])
print('...')
# Check a few with verified_date
non_null = [f for f in d['features'] if f['properties']['verified_date']]
print(f'{len(non_null)} features have a verified_date')
print('Last feature:')
print(d['features'][-1]['properties'])
# Print unique categories
cats = set(f['properties']['category'] for f in d['features'])
print('Categories:', cats)
"
{'name': '% Arabica', 'category': 'Cafés ouverts tard', 'verified_date': None}
{'name': '1T. rue Scribe', 'category': 'Cafés ouverts tard', 'verified_date': None}
{'name': '1ndix Café', 'category': 'Cafés ouverts tard', 'verified_date': None}
...
0 features have a verified_date
Last feature:
{'name': 'Avenir Tourisme', 'category': 'Tours et infos touristiques', 'verified_date': None}
Categories: {'Cafés ouverts tard', 'Bibliothèques de nuit', 'Tours et infos touristiques'}
1:08 
The regex still isn't matching. Let me check exactly what the description text looks like in the raw XML. The issue is that the HTML entities in the CDATA section are literal text - `&egrave;` is literally those characters in the XML, so `re.search` on the raw text should find them. Let me debug more carefully.
1:08
Bash cd /work && python -c " 
cd /work && python -c "
import xml.etree.ElementTree as ET
import re

ns = {'kml': 'http://www.opengis.net/kml/2.2'}
tree = ET.parse('paris_late_night_pois.kml')
root = tree.getroot()

placemark = root.find('.//kml:Placemark', ns)
desc = placemark.findtext('kml:description', '', ns)

# Show the exact string
print(repr(desc))
print('---')

# Try the regex
pattern = r'Derni(?:è|&egrave;)re\s+v(?:é|&eacute;)rification\s*:\s*(\d{4}-\d{2}-\d{2})'
match = re.search(pattern, desc)
print('Match:', match)
if match:
    print('Group:', match.group(1))

# Try simpler
match2 = re.search(r'Derni', desc)
print('Match2:', match2)
match3 = re.search(r'v[eé]rification', desc)
print('Match3:', match3)
"
'<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'
---
Match: None
Match2: <re.Match object; span=(126, 131), match='Derni'>
Match3: None
1:16 
The issue is that the description contains `&egrave;` and `&eacute;` as literal text (HTML entities). The regex `(?:è|&egrave;)` should match `&egrave;` literally, and `(?:é|&eacute;)` should match `&eacute;`. But the regex isn't matching. Let me check...

The text has: `Derni&egrave;re v&eacute;rification`

The regex: `r'Derni(?:è|&egrave;)re\s+v(?:é|&eacute;)rification\s*:\s*(\d{4}-\d{2}-\d{2})'`

Wait - `&egrave;` contains `&` which is a regex special character? No, `&` is not special in regex. Let me check more carefully:

The text: `Derni&egrave;re v&eacute;rification&nbsp;: 2026-01-01`

The regex has `\s*:` which should match `&nbsp;:`... wait, `&nbsp;` is `\u00a0` actually? No, it's literally the HTML entity `&nbsp;` in the text. So `\s*:` won't match `&nbsp;:` because `&nbsp;` starts with `&` not whitespace.

Let me fix the regex to account for the literal HTML entities.
1:16
Bash cd /work && python -c " 
cd /work && python -c "
# Let's check exactly what the entities look like
import xml.etree.ElementTree as ET
ns = {'kml': 'http://www.opengis.net/kml/2.2'}
tree = ET.parse('paris_late_night_pois.kml')
root = tree.getroot()
placemark = root.find('.//kml:Placemark', ns)
desc = placemark.findtext('kml:description', '', ns)
# Show bytes around the verification part
idx = desc.find('Derni')
print(desc[idx:idx+60])
print(repr(desc[idx:idx+60]))
"
Derni&egrave;re v&eacute;rification&nbsp;: 2026-01-01
'Derni&egrave;re v&eacute;rification&nbsp;: 2026-01-01'
1:29 
So the text is: `Derni&egrave;re v&eacute;rification` - note that `&egrave;` and `&eacute;` are the HTML entities. But also note there's `&nbsp;` before the colon.

My regex had `Derni(?:è|&egrave;)re` which should match `Derni&egrave;re` since `&egrave;` is in the alternation. Let me debug more carefully.

Actually wait - the regex pattern uses raw string `r'...'`. The `&` character is literal in regex. So `Derni(?:è|&egrave;)re` should match `Derni&egrave;re`. Let me test.

Actually, maybe the issue is the Python `re.search` doesn't find it for some reason. Let me check more carefully.

Actually wait - the output showed:
```
'Derni&egrave;re v&eacute;rification&nbsp;: 2026-01-01'
```

So the regex pattern `r'Derni(?:è|&egrave;)re\s+v(?:é|&eacute;)rification\s*:\s*(\d{4}-\d{2}-\d{2})'` should match `Derni&egrave;re v&eacute;rification&nbsp;: 2026-01-01` because:
- `Derni` matches `Derni`
- `(?:è|&egrave;)` matches `&egrave;`
- `re` matches `re`
- `\s+` matches ` ` (space)
- `v` matches `v`
- `(?:é|&eacute;)` matches `&eacute;`
- `rification` matches `rification`
- `\s*` matches nothing (or... `&nbsp;` is not whitespace! `&nbsp;` is a literal string)

So `\s*` matches zero whitespace, then `:` doesn't match `&`!

The issue is `&nbsp;` - it's a non-breaking space HTML entity, not a whitespace character in regex.

Let me fix: `\s*` should also allow matching `&nbsp;` or just use `.*?` or handle `&nbsp;`.
1:29
1:29
Edit /work/solve.py 
Edited /work/solve.py.
1:38
Bash cd /work && python solve.py 
Wrote 45 features to /work/paris_pois.geojson
1:44 
Let me verify the output looks correct.
1:44
Bash cd /work && python -c " 
cd /work && python -c "
import json
with open('paris_pois.geojson') as f:
    d = json.load(f)
# Check first few
for feat in d['features'][:3]:
    print(feat['properties'])
print('...')
# Count non-null verified dates
non_null = [f for f in d['features'] if f['properties']['verified_date'] is not None]
print(f'{len(non_null)}/{len(d[\"features\"])} have verified_date')
# Show all categories
cats = set(f['properties']['category'] for f in d['features'])
print('Categories:', cats)
# Check a few dates
for f in d['features'][:5]:
    print(f['properties']['name'], '|', f['properties']['verified_date'])
"
{'name': '% Arabica', 'category': 'Cafés ouverts tard', 'verified_date': '2026-01-01'}
{'name': '1T. rue Scribe', 'category': 'Cafés ouverts tard', 'verified_date': '2026-08-14'}
{'name': '1ndix Café', 'category': 'Cafés ouverts tard', 'verified_date': '2026-03-27'}
...
45/45 have verified_date
Categories: {'Cafés ouverts tard', 'Bibliothèques de nuit', 'Tours et infos touristiques'}
% Arabica | 2026-01-01
1T. rue Scribe | 2026-08-14
1ndix Café | 2026-03-27
2 Steps Café | 2026-10-12
3234 Café - Trente Deux Trente Quatre | 2026-05-25
1:50 
All 45 features have been successfully processed. Let me verify the output file looks correct by reading a portion of it.
1:50
1:50
Read /work/paris_pois.geojson 
     1	{
     2	  "type": "FeatureCollection",
     3	  "features": [
     4	    {
     5	      "type": "Feature",
     6	      "geometry": {
     7	        "type": "Point",
     8	        "coordinates": [
     9	          2.324676,
    10	          48.854156
    11	        ]
    12	      },
    13	      "properties": {
    14	        "name": "% Arabica",
    15	        "category": "Cafés ouverts tard",
    16	        "verified_date": "2026-01-01"
    17	      }
    18	    },
    19	    {
    20	      "type": "Feature",
    21	      "geometry": {
    22	        "type": "Point",
    23	        "coordinates": [
    24	          2.329774,
    25	          48.870581
    26	        ]
    27	      },
    28	      "properties": {
    29	        "name": "1T. rue Scribe",
    30	        "category": "Cafés ouverts tard",
<system-reminder>Showed lines 1-30 of 680. Re-call Read with offset=31 to continue, or raise limit.</system-reminder>
1:55 
The output looks correct. Let me check the last part as well.
1:55
1:55
Bash cd /work && python -c " 
cd /work && python -c "
import json
with open('paris_pois.geojson') as f:
    d = json.load(f)

# Validate GeoJSON structure
assert d['type'] == 'FeatureCollection'
assert len(d['features']) == 45
for f in d['features']:
    assert f['type'] == 'Feature'
    assert f['geometry']['type'] == 'Point'
    assert len(f['geometry']['coordinates']) == 2
    assert 'name' in f['properties']
    assert 'category' in f['properties']
    assert 'verified_date' in f['properties']
    import re
    assert re.match(r'\d{4}-\d{2}-\d{2}$', f['properties']['verified_date']), f['properties']

print('All 45 features validated OK')
print('Categories:', sorted(set(f['properties']['category'] for f in d['features'])))
# Show min/max dates
dates = [f['properties']['verified_date'] for f in d['features']]
print('Date range:', min(dates), 'to', max(dates))
"
All 45 features validated OK
Categories: ['Bibliothèques de nuit', 'Cafés ouverts tard', 'Tours et infos touristiques']
Date range: 2026-01-01 to 2026-12-26
2:01 
The conversion is complete. Let me provide a summary.
2:01