dd-l2-tokyo-overture-schools
Map (reference ← swipe → agent)
0:00
Pulling together a summer briefing on school-density disparities for children aged 8–14 across the 23 special wards. Out of `tokyo_places` I need every school relevant to that age range whose point sits inside the wards rectangle in `tokyo_23wards_bbox`. A colleague will visualise the result in R, so it has to land as `tokyo_schools.geojson`.
Each feature's properties must use these exact keys: `id`, `name`, `confidence`, `address_freeform`, `address_locality`, and `address_postcode`.
0:00
System info
{
"adapter": "openrouter",
"model": "google/gemma-4-26b-a4b-it",
"base_url": "https://openrouter.ai/api/v1"
}
0:01
Bash
ls -F
tokyo_23wards_bbox.geojson tokyo_places.parquet
0:02
Bash
head -n 5 tokyo_places.parquet
PAR1��A��9L�� �� �$ 0036772c-0c6a-4a84-a168-95f8f2097d0b$(�5b475a-c465-4fdc-b2b7-863f5b63cf5
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(�6b489-7500-4a2e-add9-2e2dec7416a5 (�2e8bea-a93a-4bbd-b837-c764035a756f$��401c46-7de8-48c8-b1c6-737cd4e3e7f(0f234d-3bd8-49!<5c5-ddaa294accfa x49387ab-9477-4f!h<494-7128d6b02da4
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(�60f788-6f93-4e74-bb27-99405728c499$x(84f2bd-6d51xD1-a65d-d831590e711-@097277b-bb75-4A�<b483-07c8fe2e6f8
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0:03
Bash
python3 -c "import pandas as pd; df = pd.read_parquet('tokyo_places.parquet'); p...
Traceback (most recent call last):
File "<string>", line 1, in <module>
import pandas as pd; df = pd.read_parquet('tokyo_places.parquet'); print(df.columns.tolist()); print(df.head())
^^^^^^^^^^^^^^^^^^^
ModuleNotFoundError: No module named 'pandas'
0:05
Bash
uv run python3 -c "import pandas as pd; df = pd.read_parquet('tokyo_places.parqu...
Traceback (most recent call last):
File "<string>", line 1, in <module>
import pandas as pd; df = pd.read_parquet('tokyo_places.parquet'); print(df.columns.tolist()); print(df.head())
^^^^^^^^^^^^^^^^^^^
ModuleNotFoundError: No module named 'pandas'
0:07
Bash
uv run --with pandas --with pyarrow python3 -c "import pandas as pd; df = pd.rea...
['id', 'geometry', 'bbox', 'confidence', 'categories', 'names', 'addresses', 'bucket']
id ... bucket
0 0036772c-0c6a-4a84-a168-95f8f2097d0b ... 0
1 005b475a-c465-4fdc-b2b7-863f5b63cf5b ... 0
2 00e41387-1ceb-4dee-80a4-29705b5a09fd ... 0
3 01067b37-4a19-4791-90c0-6c2e99a8867a ... 0
4 01139e42-34cf-4306-a3e8-9f3b58bc769d ... 0
[5 rows x 8 columns]
Installed 5 packages in 247ms
0:15
Bash
uv run --with pandas --with pyarrow python3 -c "import pandas as pd; df = pd.rea...
{'alternate': array(['education', 'topic_concert_venue'], dtype=object), 'primary': 'school'}
{'common': None, 'primary': 'ちいさなピカソ(親と子の絵画・造形)', 'rules': None}
[{'country': 'JP', 'freeform': '高輪1-16-25', 'locality': '港区', 'postcode': '108-0074', 'region': None}]
0:18
Bash
uv run --with pandas --with pyarrow python3 -c "import pandas as pd; df = pd.rea...
Traceback (most recent call last):
File "<string>", line 1, in <module>
import pandas as pd; df = pd.read_parquet('tokyo_places.parquet'); print(df['categories'].apply(lambda x: x.get('primary')).unique())
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/agent/.cache/uv/archive-v0/cLNKp1q9fmQ12ltw/lib/python3.14/site-packages/pandas/core/series.py", line 5084, in apply
).apply()
~~~~~^^
File "/home/agent/.cache/uv/archive-v0/cLNKp1q9fmQ12ltw/lib/python3.14/site-packages/pandas/core/apply.py", line 1520, in apply
return self.apply_standard()
~~~~~~~~~~~~~~~~~~~^^
File "/home/agent/.cache/uv/archive-v0/cLNKp1q9fmQ12ltw/lib/python3.14/site-packages/pandas/core/apply.py", line 1578, in apply_standard
mapped = obj._map_values(mapper=curried)
File "/home/agent/.cache/uv/archive-v0/cLNKp1q9fmQ12ltw/lib/python3.14/site-packages/pandas/core/base.py", line 1022, in _map_values
return algorithms.map_array(arr, mapper, na_action=na_action)
~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/agent/.cache/uv/archive-v0/cLNKp1q9fmQ12ltw/lib/python3.14/site-packages/pandas/core/algorithms.py", line 1715, in map_array
return lib.map_infer(values, mapper)
~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
File "pandas/_libs/lib.pyx", line 3071, in pandas._libs.lib.map_infer
File "<string>", line 1, in <lambda>
import pandas as pd; df = pd.read_parquet('tokyo_places.parquet'); print(df['categories'].apply(lambda x: x.get('primary')).unique())
^^^^^
AttributeError: 'NoneType' object has no attribute 'get'
0:22
Bash
uv run --with pandas --with pyarrow python3 -c "import pandas as pd; df = pd.rea...
<ArrowStringArray>
[ 'school', 'cafe',
'french_restaurant', 'italian_restaurant',
'sushi_restaurant', 'park',
'beauty_salon', 'japanese_restaurant',
'bakery', 'real_estate_agent',
...
'planetarium', 'laboratory',
'surf_shop', 'speakeasy',
'translation_services', 'glass_blowing',
'baby_gear_and_furniture', 'football_stadium',
'machine_and_tool_rentals', 'recording_and_rehearsal_studio']
Length: 645, dtype: str
0:25
Bash
uv run --with geopandas --with pyogrio --with pandas --with pyarrow python3 -c "...
minx miny maxx maxy 0 139.56 35.52 139.91 35.82 EPSG:4326
Installed 11 packages in 370ms
1:12
Write
Invalid JSON arguments: Unterminated string starting at: line 1 column 13 (char 12)
1:16
You are not done yet. The expected output file is missing. Please re-read the original instructions and finish the task.
1:16
System info
{
"adapter": "openrouter",
"model": "google/gemma-4-26b-a4b-it",
"base_url": "https://openrouter.ai/api/v1"
}
1:17
Bash
ls -F
tokyo_23wards_bbox.geojson tokyo_places.parquet
1:18
Read
tokyo_23wards_bbox.geojson
1 {
2 "type": "FeatureCollection",
3 "name": "tokyo_23wards_bbox",
4 "crs": {
5 "type": "name",
6 "properties": {
7 "name": "urn:ogc:def:crs:OGC:1.3:CRS84"
8 }
9 },
10 "features": [
11 {
12 "type": "Feature",
13 "properties": {
14 "name": "Tokyo 23 Special Wards (bbox)"
15 },
16 "geometry": {
17 "type": "Polygon",
18 "coordinates": [
19 [
20 [
21 139.56,
22 35.52
23 ],
24 [
25 139.91,
26 35.52
27 ],
28 [
29 139.91,
30 35.82
31 ],
32 [
33 139.56,
34 35.82
35 ],
36 [
37 139.56,
38 35.52
39 ]
40 ]
41 ]
42 }
43 }
44 ]
45 }
1:19
Read
tokyo_places.parquet
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