adam.tngl.sh
an attempt at a lightweight photo/album viewer
some backend proprocessing, update to drizzle beta, a basic segmented album
+2178
-132
+6
preprocessing/.vscode/settings.json
+6
preprocessing/.vscode/settings.json
+2
-2
preprocessing/pyproject.toml
+2
-2
preprocessing/pyproject.toml
+49
preprocessing/saveeachphototobackend.py
+49
preprocessing/saveeachphototobackend.py
···
1
+
import argparse
2
+
import json
3
+
import os
4
+
from datetime import datetime
5
+
6
+
from photos_api_client import Client
7
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from photos_api_client.api.default import post_photo, post_album, post_batch_photos_in_album
8
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from photos_api_client.models import PostAlbumBody, PostAlbumBodyAlbum
9
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from photos_api_client.models import PostBatchPhotosInAlbumBody, PostBatchPhotosInAlbumBodyAlbum, PostBatchPhotosInAlbumBodyContentsItem
10
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from photos_api_client.models.post_photo_body import PostPhotoBody
11
+
12
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parser = argparse.ArgumentParser(description="Generate api calls for photo directories.")
13
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parser.add_argument("target_directory", help="The root directory to process.")
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args = parser.parse_args()
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16
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store_json_path = os.path.join(args.target_directory, 'store.geo.json')
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18
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with open(store_json_path, 'r') as f:
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store_data = json.load(f)
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print(store_data[0].keys())
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+
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def fill_photo_record(image):
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imgToPost = PostPhotoBody(
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file_name=image['file'],
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date_created=datetime.fromisoformat(image['timestamp']),
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date_modified=datetime.fromisoformat(image['timestamp']),
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width=image['metadata']['width'],
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height=image['metadata']['width'],
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orientation=image['metadata']['orientation'],
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region=image['metadata']['region'] if 'region' in image['metadata'] else None
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)
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# imgToPost.file_name = image.file
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# imgToPost.date_created = image.timestamp
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# imgToPost.date_modified = image.timestamp
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# imgToPost.width = image.metadata.width
38
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# imgToPost.height = image.metadata.width
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# imgToPost.orientation = image.metadata.orientation
40
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# imgToPost.region = image.region
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return imgToPost
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43
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client = Client(base_url="http://adams-laptop:8000")
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photoRecords = [fill_photo_record(image)
45
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for seg in store_data[0]['segments'] for image in seg['images']]
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for photo in photoRecords:
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print(photo.file_name)
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resp = post_photo.sync(client=client, body=photo)
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print(resp)
+55
preprocessing/savetobackend.py
+55
preprocessing/savetobackend.py
···
1
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import argparse
2
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import json
3
+
import os
4
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from datetime import datetime
5
+
6
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from photos_api_client import Client
7
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from photos_api_client.api.default import post_album, post_batch_photos_in_album
8
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from photos_api_client.models import PostAlbumBody, PostAlbumBodyAlbum
9
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from photos_api_client.models import PostBatchPhotosInAlbumBody, PostBatchPhotosInAlbumBodyAlbum, PostBatchPhotosInAlbumBodyContentsItem
10
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11
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parser = argparse.ArgumentParser(description="Generate api calls for photo directories.")
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parser.add_argument("target_directory", help="The root directory to process.")
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args = parser.parse_args()
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15
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store_json_path = os.path.join(args.target_directory, 'store.geo.json')
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with open(store_json_path, 'r') as f:
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store_data = json.load(f)
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print(store_data[0].keys())
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def fill_photo_record(image):
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imgToPost = PostBatchPhotosInAlbumBodyContentsItem(
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file_name=image['file'],
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date_created=datetime.fromisoformat(image['timestamp']),
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date_modified=datetime.fromisoformat(image['timestamp']),
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width=image['metadata']['width'],
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height=image['metadata']['width'],
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orientation=image['metadata']['orientation'],
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region=image['metadata']['region'] if 'region' in image['metadata'] else None
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)
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# imgToPost.file_name = image.file
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# imgToPost.date_created = image.timestamp
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# imgToPost.date_modified = image.timestamp
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# imgToPost.width = image.metadata.width
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# imgToPost.height = image.metadata.width
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# imgToPost.orientation = image.metadata.orientation
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# imgToPost.region = image.region
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return imgToPost
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client = Client(base_url="http://adams-laptop:8000")
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photoRecords = [fill_photo_record(image)
44
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for seg in store_data[0]['segments'] for image in seg['images']]
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resp = post_batch_photos_in_album.sync(client=client, body=PostBatchPhotosInAlbumBody(
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album=PostBatchPhotosInAlbumBodyAlbum(
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title=args.target_directory,
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year=2025
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),
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contents=photoRecords
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))
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print(resp)
+31
preprocessing/savetobackendblunt.py
+31
preprocessing/savetobackendblunt.py
···
1
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import argparse
2
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import json
3
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import os
4
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from datetime import datetime
5
+
6
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from photos_api_client import Client
7
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from photos_api_client.api.default import post_segmented_album_with_new_photos_w_blunt_geo
8
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from photos_api_client.models import PostSegmentedAlbumWithNewPhotosWBluntGeoBody
9
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10
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parser = argparse.ArgumentParser(description="Generate api calls for photo directories.")
11
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parser.add_argument("target_directory", help="The root directory to process.")
12
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args = parser.parse_args()
13
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14
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store_json_path = os.path.join(args.target_directory, 'store.geo.json')
15
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16
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with open(store_json_path, 'r') as f:
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store_data = json.load(f)
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print(store_data[0].keys())
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client = Client(base_url="http://adams-laptop:8000")
22
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album=dict()
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album['album'] = dict()
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album['album']['title'] = 'a test'
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album['album']['year'] = 2025
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album['sections'] = store_data
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data = PostSegmentedAlbumWithNewPhotosWBluntGeoBody.from_dict(album)
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resp = post_segmented_album_with_new_photos_w_blunt_geo.sync(client=client, body=data)
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print(resp)
+102
preprocessing/srv/geoclust.py
+102
preprocessing/srv/geoclust.py
···
1
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import os
2
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import sys
3
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import json
4
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from PIL import Image
5
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from PIL.ExifTags import TAGS
6
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from datetime import datetime
7
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from geopy.distance import geodesic
8
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9
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def decimal_coords(coords, ref):
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"""Convert GPS coordinates from DMS to decimal degrees."""
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decimal_degrees = float(coords[0]) + float(coords[1])/60 + float(coords[2])/3600
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if ref in ('S', 'W'):
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decimal_degrees = -decimal_degrees
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return decimal_degrees
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16
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def main(directory, threshold):
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# Find GPSInfo tag in EXIF
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GPSINFO_TAG = next(tag for tag, name in TAGS.items() if name == "GPSInfo")
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20
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# Collect image data
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files = os.listdir(directory)
22
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images = []
23
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prog=1
24
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for filename in files:
25
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if prog % 200 == 0 or len(files) == prog:
26
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print(f"Progress: {prog} / {len(files)}")
27
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prog+=1
28
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filepath = os.path.join(directory, filename)
29
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if filename.lower().endswith(('.jpg', '.jpeg')):
30
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try:
31
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with Image.open(filepath) as img:
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exif = img.getexif()
33
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if exif:
34
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gps_info = exif.get(GPSINFO_TAG, None)
35
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if gps_info:
36
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# Extract latitude and longitude
37
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lat_coords = gps_info[2]
38
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lat_ref = gps_info[1]
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lon_coords = gps_info[4]
40
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lon_ref = gps_info[3]
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lat = decimal_coords(lat_coords, lat_ref)
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lon = decimal_coords(lon_coords, lon_ref)
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modtime = datetime.fromtimestamp(os.path.getmtime(filepath))
44
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images.append({
45
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'modtime': modtime.timestamp(),
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'lat': lat,
47
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'lon': lon,
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'filename': filename
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})
50
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# (modtime, lat, lon, filename))
51
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except Exception as e:
52
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print(f"Error processing {filename}: {e}")
53
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54
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# Sort images by modification time
55
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images.sort(key=lambda x: x['modtime'])
56
+
57
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# Group into clusters based on distance threshold
58
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clusters = []
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current_cluster = []
60
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for i in range(len(images)):
61
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if i == 0:
62
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current_cluster.append(images[i])
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else:
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prev = images[i - 1]
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curr = images[i]
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distance = geodesic((prev['lat'], prev['lon']), (curr['lat'], curr['lon'])).kilometers
67
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if distance < threshold:
68
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current_cluster.append(curr)
69
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else:
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clusters.append(current_cluster)
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current_cluster = [curr]
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if current_cluster:
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clusters.append(current_cluster)
74
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with open(f"{directory}.clusters.json", 'w') as f:
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json.dump([clusters], f, indent=2)
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# Output results
79
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print(f"\n{'='*60}")
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print(f"{'GPS Clustering Report':^60}")
81
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print(f"{'='*60}")
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83
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for idx, cluster in enumerate(clusters):
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print(f"\nCluster {idx} (Representative: {cluster[0]['filename']})")
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for img in cluster:
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print(f" File: {img['filename']}")
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print(f" Lat: {img['lat']:.6f}, Lon: {img['lon']:.6f}")
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print(f"\n{'='*60}")
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print(f"Total Clusters: {len(clusters)}")
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print(f"{'='*60}")
92
+
93
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if __name__ == "__main__":
94
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DEFAULT_THRESHOLD=30.0
95
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if len(sys.argv) < 2:
96
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print("Usage: python script.py <directory> [threshold]")
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print(f"Default threshold is {DEFAULT_THRESHOLD} km")
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sys.exit(1)
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100
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directory = sys.argv[1]
101
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threshold = float(sys.argv[2]) if len(sys.argv) > 2 else DEFAULT_THRESHOLD
102
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main(directory, threshold)
+133
preprocessing/srv/geokdclust.py
+133
preprocessing/srv/geokdclust.py
···
1
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import sys
2
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import json
3
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from kdtree import GeoIndexer
4
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5
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def main():
6
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if len(sys.argv) < 2:
7
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print("Usage: python script.py <directory> [threshold]")
8
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print(f"Default threshold is {DEFAULT_THRESHOLD} km")
9
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sys.exit(1)
10
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11
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directory = sys.argv[1]
12
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13
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# Define the column names in order based on the schema
14
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column_names = [
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'geonameid',
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'name',
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'asciiname',
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'alternatenames',
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'latitude',
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'longitude',
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'feature_class',
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'feature_code',
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'country_code',
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'cc2',
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'admin1_code',
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'admin2_code',
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'admin3_code',
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'admin4_code',
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'population',
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'elevation',
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'dem',
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'timezone',
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'modification_date'
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]
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# Indices of the required columns (1,9,11,12,3,5,6) in the data file
37
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required_indices = [0, 8, 10, 11, 2, 4, 5]
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# Extract the corresponding column names
40
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required_columns = [column_names[i] for i in required_indices]
41
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# List to store all rows as dictionaries
43
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data = []
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# Read the file and process each line
46
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num_cities = '500'
47
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with open(f"cities{num_cities}.txt", 'r') as file:
48
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for line in file:
49
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line = line.strip()
50
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if not line:
51
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continue # Skip empty lines
52
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53
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fields = line.split('\t')
54
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if len(fields) < max(required_indices) + 1:
55
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continue # Skip lines with insufficient data
56
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57
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row = {}
58
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for idx, col in zip(required_indices, required_columns):
59
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row[col] = fields[idx]
60
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61
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data.append(row)
62
+
63
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city_nodes = [(
64
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float(r['latitude']),
65
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float(r['longitude']),
66
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f"{r['country_code']}:{r['admin1_code']}:{r['admin2_code']}"
67
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) for r in data]
68
+
69
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a_col_names = [
70
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'code',
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'name',
72
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'asciiname',
73
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'geonameId'
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]
75
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regions=dict()
76
+
77
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with open('admin2Codes.txt', 'r') as file:
78
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for line in file:
79
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line = line.strip()
80
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if not line:
81
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continue # Skip empty lines
82
+
83
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fields = line.split('\t')
84
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regions[fields[0].replace('.',':')] = fields[1]
85
+
86
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# 1. Build the index
87
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print("Building index...")
88
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indexer = GeoIndexer(city_nodes)
89
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print("Index built successfully.")
90
+
91
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with open(f"{directory}.clusters.json") as file:
92
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clusters = json.load(file)[0]
93
+
94
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rbc = dict()
95
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unk = []
96
+
97
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towns = set()
98
+
99
+
100
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for c in clusters:
101
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for n in c:
102
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# 3. Find the nearest node
103
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nearest_node = indexer.find_nearest(
104
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float(n['lat']),
105
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float(n['lon'])
106
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)
107
+
108
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print(f"\nQuery Point: ({n['lat']}, {n['lon']})")
109
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print(f"Nearest Node Found: {nearest_node}")
110
+
111
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if nearest_node[2] in regions:
112
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print(f"Derived Admin Region: {regions[nearest_node[2]]}")
113
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if nearest_node[2] in rbc:
114
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rbc[nearest_node[2]].append(n)
115
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else:
116
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rbc[nearest_node[2]] = [n]
117
+
118
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towns.add(nearest_node)
119
+
120
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else:
121
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print(f"Unknown Admin Region: {nearest_node[2]}")
122
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unk.append(n)
123
+
124
+
with open(f"{directory}.region.clusters.{num_cities}.json", 'w') as file:
125
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l = list(rbc.values())
126
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l.append(unk)
127
+
json.dump([l], file)
128
+
129
+
with open(f"{directory}.close_cities.{num_cities}.json", 'w') as file:
130
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json.dump(list(towns), file)
131
+
132
+
if __name__ == '__main__':
133
+
main()
+24
preprocessing/srv/isocountry.py
+24
preprocessing/srv/isocountry.py
···
1
+
import json
2
+
3
+
def parse_country_data(file_path):
4
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countries = dict()
5
+
6
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with open(file_path, 'r', encoding='utf-8') as file:
7
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for line in file:
8
+
line = line.strip()
9
+
if not line or line.startswith('#'):
10
+
continue # Skip comments and empty lines
11
+
12
+
fields = line.split()
13
+
if len(fields) >= 5:
14
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iso_code = fields[0]
15
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country_name = fields[4]
16
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countries[iso_code] = country_name
17
+
18
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return countries
19
+
20
+
if __name__ == "__main__":
21
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file_path = 'countryInfo.txt' # Replace with your actual file path
22
+
result = parse_country_data(file_path)
23
+
with open('countries.json', 'w') as f:
24
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json.dump(result, f, indent=2, ensure_ascii=False)
+136
preprocessing/srv/kdtree.py
+136
preprocessing/srv/kdtree.py
···
1
+
import math
2
+
3
+
class _Node:
4
+
"""A private helper class for a node in the Kd-tree."""
5
+
def __init__(self, point, axis, left=None, right=None):
6
+
self.point = point
7
+
self.axis = axis
8
+
self.left = left
9
+
self.right = right
10
+
11
+
class GeoIndexer:
12
+
"""
13
+
Indexes a collection of latitude/longitude nodes using a Kd-tree
14
+
for efficient approximate nearest neighbor searches.
15
+
"""
16
+
17
+
def __init__(self, nodes: list[tuple[float, float, str]]):
18
+
"""
19
+
Initializes the index and builds the Kd-tree from the nodes.
20
+
21
+
Args:
22
+
nodes: A list of unique (latitude, longitude) tuples.
23
+
"""
24
+
if not nodes:
25
+
raise ValueError("Node list cannot be empty.")
26
+
27
+
# k=2 for (latitude, longitude)
28
+
self._k = 2
29
+
self._root = self._build_kdtree(nodes)
30
+
31
+
def _build_kdtree(self, points: list[tuple[float, float, str]], depth: int = 0):
32
+
"""Recursively builds the Kd-tree."""
33
+
if not points:
34
+
return None
35
+
36
+
# Determine the axis to split on
37
+
axis = depth % self._k
38
+
39
+
# Sort points by the current axis and find the median
40
+
points.sort(key=lambda point: point[axis])
41
+
median_idx = len(points) // 2
42
+
median_point = points[median_idx]
43
+
44
+
# Create a new node and recursively build subtrees
45
+
return _Node(
46
+
point=median_point,
47
+
axis=axis,
48
+
left=self._build_kdtree(points[:median_idx], depth + 1),
49
+
right=self._build_kdtree(points[median_idx + 1:], depth + 1)
50
+
)
51
+
52
+
def find_nearest(self, lat: float, lon: float) -> tuple[float, float, str]:
53
+
"""
54
+
Finds the node in the index that is closest to the given
55
+
latitude and longitude.
56
+
57
+
Args:
58
+
lat: The latitude of the query point.
59
+
lon: The longitude of the query point.
60
+
61
+
Returns:
62
+
The (latitude, longitude) tuple of the nearest node.
63
+
"""
64
+
query_point = (lat, lon)
65
+
if self._root is None:
66
+
raise Exception("The tree is empty.")
67
+
68
+
# The state is a list [best_point, best_sq_dist] so it can be modified
69
+
# by the nested helper function (pass-by-reference behavior).
70
+
state = [None, float('inf')]
71
+
72
+
self._find_nearest_recursive(self._root, query_point, state)
73
+
74
+
return state[0]
75
+
76
+
def _find_nearest_recursive(self, node: _Node, query_point: tuple[float, float, str], state: list):
77
+
"""Recursively searches the tree for the nearest neighbor."""
78
+
if node is None:
79
+
return
80
+
81
+
# Calculate squared Euclidean distance between current node and query point
82
+
dist_sq = (node.point[0] - query_point[0])**2 + (node.point[1] - query_point[1])**2
83
+
84
+
# If this node is closer, update our best guess
85
+
if dist_sq < state[1]:
86
+
state[0] = node.point
87
+
state[1] = dist_sq
88
+
89
+
axis = node.axis
90
+
# Determine which subtree to search first
91
+
if query_point[axis] < node.point[axis]:
92
+
primary_child = node.left
93
+
secondary_child = node.right
94
+
else:
95
+
primary_child = node.right
96
+
secondary_child = node.left
97
+
98
+
# Recurse into the primary subtree
99
+
self._find_nearest_recursive(primary_child, query_point, state)
100
+
101
+
# Check if we need to search the secondary subtree (pruning step)
102
+
# We only need to search the other side if the distance from the query
103
+
# point to the splitting plane is less than our current best distance.
104
+
dist_to_plane_sq = (node.point[axis] - query_point[axis]) ** 2
105
+
106
+
if dist_to_plane_sq < state[1]:
107
+
self._find_nearest_recursive(secondary_child, query_point, state)
108
+
109
+
110
+
# --- Example Usage ---
111
+
112
+
if __name__ == '__main__':
113
+
# A list of nodes (e.g., locations in a city)
114
+
# Format: (latitude, longitude)
115
+
city_nodes = [
116
+
(34.0522, -118.2437, "LA"), # Los Angeles
117
+
(34.0722, -118.2337, "LA"), # Near Dodger Stadium
118
+
(34.0430, -118.2673, "LA"), # Near Crypto.com Arena
119
+
(34.1522, -118.2553, "LA"), # Griffith Observatory
120
+
(34.1016, -118.3409, "LA"), # Hollywood Walk of Fame
121
+
(34.0620, -118.3617, "LA"), # LACMA
122
+
]
123
+
124
+
# 1. Build the index
125
+
print("Building index...")
126
+
indexer = GeoIndexer(city_nodes)
127
+
print("Index built successfully.")
128
+
129
+
# 2. Define a query point
130
+
query_lat, query_lon = 34.0800, -118.3000 # A point in Koreatown
131
+
132
+
# 3. Find the nearest node
133
+
nearest_node = indexer.find_nearest(query_lat, query_lon)
134
+
135
+
print(f"\nQuery Point: ({query_lat}, {query_lon})")
136
+
print(f"Nearest Node Found: {nearest_node}")
+274
preprocessing/srv/phmeta.py
+274
preprocessing/srv/phmeta.py
···
1
+
import os
2
+
import sys
3
+
import json
4
+
import argparse
5
+
from datetime import datetime, timezone, timedelta
6
+
from collections import defaultdict
7
+
from PIL import Image
8
+
from PIL.ExifTags import TAGS
9
+
10
+
from kdtree import GeoIndexer
11
+
12
+
from photos_api_client import Client
13
+
from photos_api_client.api.default import post_album, post_batch_photos_in_album
14
+
from photos_api_client.models import PostAlbumBody, PostAlbumBodyAlbum
15
+
from photos_api_client.models import PostBatchPhotosInAlbumBody, PostBatchPhotosInAlbumBodyAlbum, PostBatchPhotosInAlbumBodyContentsItem
16
+
17
+
18
+
# Define GMT+10 timezone
19
+
GMT10 = timezone(timedelta(hours=10))
20
+
21
+
def decimal_coords(coords, ref):
22
+
"""Convert GPS coordinates from DMS to decimal degrees."""
23
+
decimal_degrees = float(coords[0]) + float(coords[1])/60 + float(coords[2])/3600
24
+
if ref in ('S', 'W'):
25
+
decimal_degrees = -decimal_degrees
26
+
return decimal_degrees
27
+
28
+
def get_image_info(filepath, date_source):
29
+
"""Extracts metadata and date from an image file."""
30
+
try:
31
+
img = Image.open(filepath)
32
+
width, height = img.size
33
+
orientation = 1
34
+
timestamp = None
35
+
lat = None
36
+
lon = None
37
+
38
+
# Get date from EXIF
39
+
if date_source == 'exif':
40
+
if hasattr(img, '_getexif'):
41
+
exif_data = img._getexif()
42
+
if exif_data:
43
+
for tag, value in exif_data.items():
44
+
tag_name = TAGS.get(tag, tag)
45
+
if tag_name == 'Orientation':
46
+
orientation = value
47
+
# DateTimeOriginal is preferred as it's when the photo was taken
48
+
if tag_name == 'DateTimeOriginal' and value:
49
+
# Format is 'YYYY:MM:DD HH:MM:SS'
50
+
timestamp = datetime.strptime(value, '%Y:%m:%d %H:%M:%S')
51
+
# Fallback to DateTime
52
+
elif tag_name == 'DateTime' and not timestamp and value:
53
+
timestamp = datetime.strptime(value, '%Y:%m:%d %H:%M:%S')
54
+
if tag_name =='GPSInfo':
55
+
print("Yloo")
56
+
# Extract latitude and longitude
57
+
gps_info = value
58
+
lat_coords = gps_info[2]
59
+
lat_ref = gps_info[1]
60
+
lon_coords = gps_info[4]
61
+
lon_ref = gps_info[3]
62
+
lat = decimal_coords(lat_coords, lat_ref)
63
+
lon = decimal_coords(lon_coords, lon_ref)
64
+
65
+
# If no EXIF date or if source is modtime, use file modification time
66
+
if not timestamp:
67
+
mod_time = os.path.getmtime(filepath)
68
+
timestamp = datetime.fromtimestamp(mod_time)
69
+
70
+
metadata = {
71
+
"width": width,
72
+
"height": height,
73
+
"orientation": orientation,
74
+
"lat": lat,
75
+
"lon": lon,
76
+
}
77
+
return metadata, timestamp
78
+
79
+
except Exception as e:
80
+
print(f"Error processing {filepath}: {e}")
81
+
return None, None
82
+
83
+
def create_store_json(directory, date_source, backend_api):
84
+
"""Creates a store.json file in a directory based on its image contents, segmented by day."""
85
+
86
+
# Define the column names in order based on the schema
87
+
column_names = [
88
+
'geonameid',
89
+
'name',
90
+
'asciiname',
91
+
'alternatenames',
92
+
'latitude',
93
+
'longitude',
94
+
'feature_class',
95
+
'feature_code',
96
+
'country_code',
97
+
'cc2',
98
+
'admin1_code',
99
+
'admin2_code',
100
+
'admin3_code',
101
+
'admin4_code',
102
+
'population',
103
+
'elevation',
104
+
'dem',
105
+
'timezone',
106
+
'modification_date'
107
+
]
108
+
109
+
# Indices of the required columns (1,9,11,12,3,5,6) in the data file
110
+
required_indices = [0, 8, 10, 11, 2, 4, 5]
111
+
112
+
# Extract the corresponding column names
113
+
required_columns = [column_names[i] for i in required_indices]
114
+
115
+
# List to store all rows as dictionaries
116
+
data = []
117
+
118
+
# Read the file and process each line
119
+
num_cities = '500'
120
+
with open(f"/mnt/t7/adam/geocoding/cities{num_cities}.txt", 'r') as file:
121
+
for line in file:
122
+
line = line.strip()
123
+
if not line:
124
+
continue # Skip empty lines
125
+
126
+
fields = line.split('\t')
127
+
if len(fields) < max(required_indices) + 1:
128
+
continue # Skip lines with insufficient data
129
+
130
+
row = {}
131
+
for idx, col in zip(required_indices, required_columns):
132
+
row[col] = fields[idx]
133
+
134
+
data.append(row)
135
+
136
+
city_nodes = [(
137
+
float(r['latitude']),
138
+
float(r['longitude']),
139
+
f"{r['country_code']}:{r['admin1_code']}:{r['admin2_code']}"
140
+
) for r in data]
141
+
142
+
a_col_names = [
143
+
'code',
144
+
'name',
145
+
'asciiname',
146
+
'geonameId'
147
+
]
148
+
regions=dict()
149
+
150
+
with open('/mnt/t7/adam/geocoding/admin2Codes.txt', 'r') as file:
151
+
for line in file:
152
+
line = line.strip()
153
+
if not line:
154
+
continue # Skip empty lines
155
+
156
+
fields = line.split('\t')
157
+
regions[fields[0].replace('.',':')] = fields[1]
158
+
159
+
# 1. Build the index
160
+
print("Building index...")
161
+
indexer = GeoIndexer(city_nodes)
162
+
print("Index built successfully.")
163
+
164
+
images_by_day = defaultdict(list)
165
+
total_images = 0
166
+
167
+
for filename in sorted(os.listdir(directory)):
168
+
if filename.lower().endswith(('.jpg', '.jpeg')):
169
+
print(filename)
170
+
filepath = os.path.join(directory, filename)
171
+
metadata, timestamp = get_image_info(filepath, date_source)
172
+
nearest_node = None
173
+
if metadata and timestamp:
174
+
# Convert timestamp to GMT+10 and get the date part
175
+
local_dt = timestamp.astimezone(GMT10)
176
+
day = local_dt.date()
177
+
if metadata['lat'] is not None and metadata['lon'] is not None:
178
+
nearest_node = indexer.find_nearest(
179
+
float(metadata['lat']),
180
+
float(metadata['lon'])
181
+
)
182
+
183
+
images_by_day[day].append({
184
+
"file": filename,
185
+
"timestamp": timestamp.isoformat(),
186
+
# reconstruct with minimal info
187
+
"metadata": {
188
+
"width": metadata['width'],
189
+
"height": metadata['height'],
190
+
"orientation": metadata['orientation'],
191
+
"region": nearest_node[2],
192
+
} if nearest_node is not None else {
193
+
"width": metadata['width'],
194
+
"height": metadata['height'],
195
+
"orientation": metadata['orientation']
196
+
}
197
+
})
198
+
total_images += 1
199
+
200
+
if not total_images:
201
+
return
202
+
203
+
dir_name = os.path.basename(directory)
204
+
segments = []
205
+
# Sort days to have segments in chronological order
206
+
for day in sorted(images_by_day.keys()):
207
+
segment_images = images_by_day[day]
208
+
segments.append({
209
+
"segmentId": f"{dir_name}_{day.strftime('%Y-%m-%d')}",
210
+
"header": day.strftime('%a, %B %d, %Y'),
211
+
"images": segment_images
212
+
})
213
+
214
+
store_data = [
215
+
{
216
+
"sectionId": dir_name,
217
+
"totalImages": total_images,
218
+
"segments": segments
219
+
}
220
+
]
221
+
222
+
if backend_api:
223
+
client = Client(base_url="http://adams-laptop:8000")
224
+
photoRecords = [fill_photo_record(image)
225
+
for seg in segments for image in seg]
226
+
post_batch_photos_in_album.sync(client, body=PostBatchPhotosInAlbumBody.from_dict({
227
+
"album": PostBatchPhotosInAlbumBodyAlbum.from_dict({
228
+
"title": dir_name,
229
+
"year": 2025
230
+
}),
231
+
"contents": photoRecords
232
+
}))
233
+
else:
234
+
store_json_path = os.path.join(directory, 'store.geo.json')
235
+
with open(store_json_path, 'w') as f:
236
+
json.dump(store_data, f, indent=2)
237
+
print(f"Created {store_json_path}")
238
+
239
+
def fill_photo_record(image):
240
+
imgToPost = PostBatchPhotosInAlbumBodyContentsItem()
241
+
imgToPost.file_name = image.file
242
+
imgToPost.date_created = image.timestamp
243
+
imgToPost.date_modified = image.timestamp
244
+
imgToPost.width = image.metadata.width
245
+
imgToPost.height = image.metadata.width
246
+
imgToPost.orientation = image.metadata.orientation
247
+
imgToPost.region = image.region
248
+
return imgToPost
249
+
250
+
def main():
251
+
"""Main function to traverse directories and generate store.json files."""
252
+
parser = argparse.ArgumentParser(description="Generate store.json for photo directories.")
253
+
parser.add_argument("target_directory", help="The root directory to process.")
254
+
parser.add_argument("--date-source", choices=['exif', 'modtime'], default='exif',
255
+
help="Source for image date (exif or modtime). Defaults to exif.")
256
+
parser.add_argument("--single-dir", action='store_true',
257
+
help="whether to operate on only a single directory")
258
+
parser.add_argument("--backend-api", default=None,
259
+
help="use the api client rather than saving json to filesystem")
260
+
args = parser.parse_args()
261
+
262
+
root_dir = args.target_directory
263
+
if not os.path.isdir(root_dir):
264
+
print(f"Error: {root_dir} is not a valid directory.")
265
+
sys.exit(1)
266
+
267
+
if args.single_dir:
268
+
create_store_json(root_dir, args.date_source, args.backend_api)
269
+
else:
270
+
for dirpath, _, _ in os.walk(root_dir):
271
+
create_store_json(dirpath, args.date_source, args.backend_api)
272
+
273
+
if __name__ == "__main__":
274
+
main()
+365
-20
preprocessing/uv.lock
+365
-20
preprocessing/uv.lock
···
1
1
version = 1
2
2
revision = 3
3
-
requires-python = ">=3.14"
3
+
requires-python = ">=3.9"
4
+
resolution-markers = [
5
+
"python_full_version >= '3.10'",
6
+
"python_full_version < '3.10'",
7
+
]
4
8
5
9
[[package]]
6
10
name = "annotated-types"
···
16
20
version = "4.12.0"
17
21
source = { registry = "https://pypi.org/simple" }
18
22
dependencies = [
23
+
{ name = "exceptiongroup", marker = "python_full_version < '3.11'" },
19
24
{ name = "idna" },
25
+
{ name = "typing-extensions", marker = "python_full_version < '3.13'" },
20
26
]
21
27
sdist = { url = "https://files.pythonhosted.org/packages/16/ce/8a777047513153587e5434fd752e89334ac33e379aa3497db860eeb60377/anyio-4.12.0.tar.gz", hash = "sha256:73c693b567b0c55130c104d0b43a9baf3aa6a31fc6110116509f27bf75e21ec0", size = 228266, upload-time = "2025-11-28T23:37:38.911Z" }
22
28
wheels = [
···
43
49
44
50
[[package]]
45
51
name = "click"
52
+
version = "8.1.8"
53
+
source = { registry = "https://pypi.org/simple" }
54
+
resolution-markers = [
55
+
"python_full_version < '3.10'",
56
+
]
57
+
dependencies = [
58
+
{ name = "colorama", marker = "python_full_version < '3.10' and sys_platform == 'win32'" },
59
+
]
60
+
sdist = { url = "https://files.pythonhosted.org/packages/b9/2e/0090cbf739cee7d23781ad4b89a9894a41538e4fcf4c31dcdd705b78eb8b/click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a", size = 226593, upload-time = "2024-12-21T18:38:44.339Z" }
61
+
wheels = [
62
+
{ url = "https://files.pythonhosted.org/packages/7e/d4/7ebdbd03970677812aac39c869717059dbb71a4cfc033ca6e5221787892c/click-8.1.8-py3-none-any.whl", hash = "sha256:63c132bbbed01578a06712a2d1f497bb62d9c1c0d329b7903a866228027263b2", size = 98188, upload-time = "2024-12-21T18:38:41.666Z" },
63
+
]
64
+
65
+
[[package]]
66
+
name = "click"
46
67
version = "8.3.1"
47
68
source = { registry = "https://pypi.org/simple" }
69
+
resolution-markers = [
70
+
"python_full_version >= '3.10'",
71
+
]
48
72
dependencies = [
49
-
{ name = "colorama", marker = "sys_platform == 'win32'" },
73
+
{ name = "colorama", marker = "python_full_version >= '3.10' and sys_platform == 'win32'" },
50
74
]
51
75
sdist = { url = "https://files.pythonhosted.org/packages/3d/fa/656b739db8587d7b5dfa22e22ed02566950fbfbcdc20311993483657a5c0/click-8.3.1.tar.gz", hash = "sha256:12ff4785d337a1bb490bb7e9c2b1ee5da3112e94a8622f26a6c77f5d2fc6842a", size = 295065, upload-time = "2025-11-15T20:45:42.706Z" }
52
76
wheels = [
···
60
84
sdist = { url = "https://files.pythonhosted.org/packages/d8/53/6f443c9a4a8358a93a6792e2acffb9d9d5cb0a5cfd8802644b7b1c9a02e4/colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44", size = 27697, upload-time = "2022-10-25T02:36:22.414Z" }
61
85
wheels = [
62
86
{ url = "https://files.pythonhosted.org/packages/d1/d6/3965ed04c63042e047cb6a3e6ed1a63a35087b6a609aa3a15ed8ac56c221/colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6", size = 25335, upload-time = "2022-10-25T02:36:20.889Z" },
87
+
]
88
+
89
+
[[package]]
90
+
name = "exceptiongroup"
91
+
version = "1.3.1"
92
+
source = { registry = "https://pypi.org/simple" }
93
+
dependencies = [
94
+
{ name = "typing-extensions", marker = "python_full_version < '3.13'" },
95
+
]
96
+
sdist = { url = "https://files.pythonhosted.org/packages/50/79/66800aadf48771f6b62f7eb014e352e5d06856655206165d775e675a02c9/exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219", size = 30371, upload-time = "2025-11-21T23:01:54.787Z" }
97
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wheels = [
98
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{ url = "https://files.pythonhosted.org/packages/8a/0e/97c33bf5009bdbac74fd2beace167cab3f978feb69cc36f1ef79360d6c4e/exceptiongroup-1.3.1-py3-none-any.whl", hash = "sha256:a7a39a3bd276781e98394987d3a5701d0c4edffb633bb7a5144577f82c773598", size = 16740, upload-time = "2025-11-21T23:01:53.443Z" },
63
99
]
64
100
65
101
[[package]]
···
122
158
123
159
[[package]]
124
160
name = "markdown-it-py"
161
+
version = "3.0.0"
162
+
source = { registry = "https://pypi.org/simple" }
163
+
resolution-markers = [
164
+
"python_full_version < '3.10'",
165
+
]
166
+
dependencies = [
167
+
{ name = "mdurl", marker = "python_full_version < '3.10'" },
168
+
]
169
+
sdist = { url = "https://files.pythonhosted.org/packages/38/71/3b932df36c1a044d397a1f92d1cf91ee0a503d91e470cbd670aa66b07ed0/markdown-it-py-3.0.0.tar.gz", hash = "sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb", size = 74596, upload-time = "2023-06-03T06:41:14.443Z" }
170
+
wheels = [
171
+
{ url = "https://files.pythonhosted.org/packages/42/d7/1ec15b46af6af88f19b8e5ffea08fa375d433c998b8a7639e76935c14f1f/markdown_it_py-3.0.0-py3-none-any.whl", hash = "sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1", size = 87528, upload-time = "2023-06-03T06:41:11.019Z" },
172
+
]
173
+
174
+
[[package]]
175
+
name = "markdown-it-py"
125
176
version = "4.0.0"
126
177
source = { registry = "https://pypi.org/simple" }
178
+
resolution-markers = [
179
+
"python_full_version >= '3.10'",
180
+
]
127
181
dependencies = [
128
-
{ name = "mdurl" },
182
+
{ name = "mdurl", marker = "python_full_version >= '3.10'" },
129
183
]
130
184
sdist = { url = "https://files.pythonhosted.org/packages/5b/f5/4ec618ed16cc4f8fb3b701563655a69816155e79e24a17b651541804721d/markdown_it_py-4.0.0.tar.gz", hash = "sha256:cb0a2b4aa34f932c007117b194e945bd74e0ec24133ceb5bac59009cda1cb9f3", size = 73070, upload-time = "2025-08-11T12:57:52.854Z" }
131
185
wheels = [
···
138
192
source = { registry = "https://pypi.org/simple" }
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···
367
691
368
692
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+1
server/.vscode/settings.json
+1
server/.vscode/settings.json
+5
-3
server/deno.json
+5
-3
server/deno.json
···
8
8
"@scalar/hono-api-reference": "npm:@scalar/hono-api-reference@^0.9.28",
9
9
"@std/dotenv": "jsr:@std/dotenv@^0.225.5",
10
10
"@types/deno": "npm:@types/deno@^2.5.0",
11
-
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11
+
"drizzle-orm": "npm:drizzle-orm@^1.0.0-beta.6-c513c71",
12
12
"drizzle-zod": "npm:drizzle-zod@^0.8.3",
13
13
"eslint": "npm:eslint@^9.39.2",
14
14
"hono": "npm:hono@^4.11.0",
···
23
23
},
24
24
"tasks": {
25
25
"generate": "deno run runtimes/generate.ts",
26
-
"dev": "deno run $(deno task allow-native-sql) --allow-read=.env --allow-net=0.0.0.0:8000 --allow-sys=hostname --allow-env=LIBSQL_JS_DEV,CI,TERM,NODE_V8_COVERAGE runtimes/main.ts",
26
+
"dev": "deno run $(deno task allow-native-sql) --allow-read=.env --allow-net=0.0.0.0:8000 --allow-sys=hostname --allow-env=LIBSQL_JS_DEV,CI,TERM,NODE_V8_COVERAGE runtimes/dev.ts",
27
27
"serve": "deno run $(deno task allow-native-sql) --allow-read=.env --allow-net=0.0.0.0:8000 --allow-env=LIBSQL_JS_DEV runtimes/main.ts",
28
28
"lint": "eslint .",
29
29
"db-gen": "cd jail/drizzle-kit; make gen",
···
38
38
"pino-pretty",
39
39
"stoker",
40
40
"@hono/zod-openapi",
41
-
"drizzle-zod"
41
+
"drizzle-zod",
42
+
"drizzle-orm",
43
+
"stoker/http-status-codes"
42
44
],
43
45
"jsx": "precompile",
44
46
"jsxImportSource": "hono/jsx"
+443
-6
server/deno.lock
+443
-6
server/deno.lock
···
8
8
"npm:@libsql/client@~0.15.15": "0.15.15",
9
9
"npm:@scalar/hono-api-reference@~0.9.28": "0.9.28_hono@4.11.0",
10
10
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11
-
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···
84
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"zod"
85
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153
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154
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178
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179
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180
+
"@azure/core-tracing",
181
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182
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183
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"@azure/msal-browser",
184
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185
+
"open",
186
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187
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192
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193
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194
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195
+
"@azure/core-rest-pipeline",
196
+
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197
+
"@azure/core-util",
198
+
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199
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200
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207
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208
+
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209
+
"@azure/core-lro",
210
+
"@azure/core-paging",
211
+
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212
+
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213
+
"@azure/core-util",
214
+
"@azure/keyvault-common",
215
+
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216
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217
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"dependencies": [
222
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223
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240
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241
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87
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89
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···
267
423
"@jridgewell/sourcemap-codec@1.5.5": {
268
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269
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428
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270
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271
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"integrity": "sha512-twC0hQxPNHPKfeOv3sNT6u2pturQjLcI+CnpTM0SjRpocEGgfiZ7DWKXLNnsothjyJmDqEsBQJ5ztq9Wlu470w==",
272
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"dependencies": [
···
392
551
"picomatch"
393
552
]
394
553
},
554
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"@tediousjs/connection-string@0.5.0": {
555
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556
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397
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"dependencies": [
···
416
578
"@types/ms@2.1.0": {
417
579
"integrity": "sha512-GsCCIZDE/p3i96vtEqx+7dBUGXrc7zeSK3wwPHIaRThS+9OhWIXRqzs4d6k1SVU8g91DrNRWxWUGhp5KXQb2VA=="
418
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581
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583
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"dependencies": [
584
+
"@types/node",
585
+
"tarn",
586
+
"tedious"
587
+
]
588
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},
419
589
"@types/node@25.0.3": {
420
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421
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"dependencies": [
422
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593
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594
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595
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597
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"dependencies": [
598
+
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423
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]
424
600
},
425
601
"@types/unist@3.0.3": {
···
529
705
"eslint-visitor-keys@4.2.1"
530
706
]
531
707
},
708
+
"@typespec/ts-http-runtime@0.3.2": {
709
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710
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"dependencies": [
711
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"http-proxy-agent",
712
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"https-proxy-agent",
713
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"tslib"
714
+
]
715
+
},
532
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534
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"dependencies": [
···
582
766
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584
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769
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771
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"dependencies": [
772
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773
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]
774
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585
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586
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587
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"dependencies": [
···
591
781
"acorn@8.15.0": {
592
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593
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784
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785
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786
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594
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595
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596
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···
622
815
"balanced-match@1.0.2": {
623
816
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624
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818
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819
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820
+
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625
821
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626
822
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627
823
"bin": true
824
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825
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826
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827
+
"dependencies": [
828
+
"@types/readable-stream",
829
+
"buffer",
830
+
"inherits",
831
+
"readable-stream"
832
+
]
628
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},
629
834
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630
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···
653
858
],
654
859
"bin": true
655
860
},
861
+
"buffer-equal-constant-time@1.0.1": {
862
+
"integrity": "sha512-zRpUiDwd/xk6ADqPMATG8vc9VPrkck7T07OIx0gnjmJAnHnTVXNQG3vfvWNuiZIkwu9KrKdA1iJKfsfTVxE6NA=="
863
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864
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865
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866
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"dependencies": [
867
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868
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"ieee754"
869
+
]
870
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656
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657
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873
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875
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876
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"dependencies": [
877
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"run-applescript"
878
+
]
658
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},
659
880
"cac@6.7.14": {
660
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···
702
923
"colorette@2.0.20": {
703
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704
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926
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"commander@11.1.0": {
927
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928
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707
931
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···
753
977
"deep-is@0.1.4": {
754
978
"integrity": "sha512-oIPzksmTg4/MriiaYGO+okXDT7ztn/w3Eptv/+gSIdMdKsJo0u4CfYNFJPy+4SKMuCqGw2wxnA+URMg3t8a/bQ=="
755
979
},
980
+
"default-browser-id@5.0.1": {
981
+
"integrity": "sha512-x1VCxdX4t+8wVfd1so/9w+vQ4vx7lKd2Qp5tDRutErwmR85OgmfX7RlLRMWafRMY7hbEiXIbudNrjOAPa/hL8Q=="
982
+
},
983
+
"default-browser@5.4.0": {
984
+
"integrity": "sha512-XDuvSq38Hr1MdN47EDvYtx3U0MTqpCEn+F6ft8z2vYDzMrvQhVp0ui9oQdqW3MvK3vqUETglt1tVGgjLuJ5izg==",
985
+
"dependencies": [
986
+
"bundle-name",
987
+
"default-browser-id"
988
+
]
989
+
},
990
+
"define-lazy-prop@3.0.0": {
991
+
"integrity": "sha512-N+MeXYoqr3pOgn8xfyRPREN7gHakLYjhsHhWGT3fWAiL4IkAt0iDw14QiiEm2bE30c5XX5q0FtAA3CK5f9/BUg=="
992
+
},
756
993
"defu@6.1.4": {
757
994
"integrity": "sha512-mEQCMmwJu317oSz8CwdIOdwf3xMif1ttiM8LTufzc3g6kR+9Pe236twL8j3IYT1F7GfRgGcW6MWxzZjLIkuHIg=="
758
995
},
···
771
1008
"diff-sequences@27.5.1": {
772
1009
"integrity": "sha512-k1gCAXAsNgLwEL+Y8Wvl+M6oEFj5bgazfZULpS5CneoPPXRaCCW7dm+q21Ky2VEE5X+VeRDBVg1Pcvvsr4TtNQ=="
773
1010
},
774
-
"drizzle-orm@0.45.1_@libsql+client@0.15.15_postgres@3.4.7": {
775
-
"integrity": "sha512-Te0FOdKIistGNPMq2jscdqngBRfBpC8uMFVwqjf6gtTVJHIQ/dosgV/CLBU2N4ZJBsXL5savCba9b0YJskKdcA==",
1011
+
"drizzle-orm@1.0.0-beta.6-c513c71_@libsql+client@0.15.15_@types+mssql@9.1.8_mssql@11.0.1_postgres@3.4.7": {
1012
+
"integrity": "sha512-DBVdm8wIwalaNPFangbtrDNHV4H5JMi12ri1dVnQ9xWuFJITr+vDPDvOIE7Y70lD8jd+iTUpftNBv80JkYgeDA==",
776
1013
"dependencies": [
777
1014
"@libsql/client",
1015
+
"@types/mssql",
1016
+
"mssql",
778
1017
"postgres"
779
1018
],
780
1019
"optionalPeers": [
···
782
1021
"postgres"
783
1022
]
784
1023
},
785
-
"drizzle-zod@0.8.3_drizzle-orm@0.45.1__@libsql+client@0.15.15__postgres@3.4.7_zod@4.1.13_@libsql+client@0.15.15_postgres@3.4.7": {
1024
+
"drizzle-zod@0.8.3_drizzle-orm@1.0.0-beta.6-c513c71__@libsql+client@0.15.15__@types+mssql@9.1.8__mssql@11.0.1__postgres@3.4.7_zod@4.1.13_@libsql+client@0.15.15_postgres@3.4.7": {
786
1025
"integrity": "sha512-66yVOuvGhKJnTdiqj1/Xaaz9/qzOdRJADpDa68enqS6g3t0kpNkwNYjUuaeXgZfO/UWuIM9HIhSlJ6C5ZraMww==",
787
1026
"dependencies": [
788
1027
"drizzle-orm",
789
1028
"zod"
1029
+
]
1030
+
},
1031
+
"ecdsa-sig-formatter@1.0.11": {
1032
+
"integrity": "sha512-nagl3RYrbNv6kQkeJIpt6NJZy8twLB/2vtz6yN9Z4vRKHN4/QZJIEbqohALSgwKdnksuY3k5Addp5lg8sVoVcQ==",
1033
+
"dependencies": [
1034
+
"safe-buffer"
790
1035
]
791
1036
},
792
1037
"electron-to-chromium@1.5.267": {
···
1158
1403
"esutils@2.0.3": {
1159
1404
"integrity": "sha512-kVscqXk4OCp68SZ0dkgEKVi6/8ij300KBWTJq32P/dYeWTSwK41WyTxalN1eRmA5Z9UU/LX9D7FWSmV9SAYx6g=="
1160
1405
},
1406
+
"event-target-shim@5.0.1": {
1407
+
"integrity": "sha512-i/2XbnSz/uxRCU6+NdVJgKWDTM427+MqYbkQzD321DuCQJUqOuJKIA0IM2+W2xtYHdKOmZ4dR6fExsd4SXL+WQ=="
1408
+
},
1409
+
"events@3.3.0": {
1410
+
"integrity": "sha512-mQw+2fkQbALzQ7V0MY0IqdnXNOeTtP4r0lN9z7AAawCXgqea7bDii20AYrIBrFd/Hx0M2Ocz6S111CaFkUcb0Q=="
1411
+
},
1161
1412
"exsolve@1.0.8": {
1162
1413
"integrity": "sha512-LmDxfWXwcTArk8fUEnOfSZpHOJ6zOMUJKOtFLFqJLoKJetuQG874Uc7/Kki7zFLzYybmZhp1M7+98pfMqeX8yA=="
1163
1414
},
···
1286
1537
"html-entities@2.6.0": {
1287
1538
"integrity": "sha512-kig+rMn/QOVRvr7c86gQ8lWXq+Hkv6CbAH1hLu+RG338StTpE8Z0b44SDVaqVu7HGKf27frdmUYEs9hTUX/cLQ=="
1288
1539
},
1540
+
"http-proxy-agent@7.0.2": {
1541
+
"integrity": "sha512-T1gkAiYYDWYx3V5Bmyu7HcfcvL7mUrTWiM6yOfa3PIphViJ/gFPbvidQ+veqSOHci/PxBcDabeUNCzpOODJZig==",
1542
+
"dependencies": [
1543
+
"agent-base",
1544
+
"debug"
1545
+
]
1546
+
},
1547
+
"https-proxy-agent@7.0.6": {
1548
+
"integrity": "sha512-vK9P5/iUfdl95AI+JVyUuIcVtd4ofvtrOr3HNtM2yxC9bnMbEdp3x01OhQNnjb8IJYi38VlTE3mBXwcfvywuSw==",
1549
+
"dependencies": [
1550
+
"agent-base",
1551
+
"debug"
1552
+
]
1553
+
},
1554
+
"iconv-lite@0.6.3": {
1555
+
"integrity": "sha512-4fCk79wshMdzMp2rH06qWrJE4iolqLhCUH+OiuIgU++RB0+94NlDL81atO7GX55uUKueo0txHNtvEyI6D7WdMw==",
1556
+
"dependencies": [
1557
+
"safer-buffer"
1558
+
]
1559
+
},
1560
+
"ieee754@1.2.1": {
1561
+
"integrity": "sha512-dcyqhDvX1C46lXZcVqCpK+FtMRQVdIMN6/Df5js2zouUsqG7I6sFxitIC+7KYK29KdXOLHdu9zL4sFnoVQnqaA=="
1562
+
},
1289
1563
"ignore@5.3.2": {
1290
1564
"integrity": "sha512-hsBTNUqQTDwkWtcdYI2i06Y/nUBEsNEDJKjWdigLvegy8kDuJAS8uRlpkkcQpyEXL0Z/pjDy5HBmMjRCJ2gq+g=="
1291
1565
},
···
1305
1579
"indent-string@5.0.0": {
1306
1580
"integrity": "sha512-m6FAo/spmsW2Ab2fU35JTYwtOKa2yAwXSwgjSv1TJzh4Mh7mC3lzAOVLBprb72XsTrgkEIsl7YrFNAiDiRhIGg=="
1307
1581
},
1582
+
"inherits@2.0.4": {
1583
+
"integrity": "sha512-k/vGaX4/Yla3WzyMCvTQOXYeIHvqOKtnqBduzTHpzpQZzAskKMhZ2K+EnBiSM9zGSoIFeMpXKxa4dYeZIQqewQ=="
1584
+
},
1308
1585
"is-builtin-module@5.0.0": {
1309
1586
"integrity": "sha512-f4RqJKBUe5rQkJ2eJEJBXSticB3hGbN9j0yxxMQFqIW89Jp9WYFtzfTcRlstDKVUTRzSOTLKRfO9vIztenwtxA==",
1310
1587
"dependencies": [
1311
1588
"builtin-modules"
1312
1589
]
1313
1590
},
1591
+
"is-docker@3.0.0": {
1592
+
"integrity": "sha512-eljcgEDlEns/7AXFosB5K/2nCM4P7FQPkGc/DWLy5rmFEWvZayGrik1d9/QIY5nJ4f9YsVvBkA6kJpHn9rISdQ==",
1593
+
"bin": true
1594
+
},
1314
1595
"is-extglob@2.1.1": {
1315
1596
"integrity": "sha512-SbKbANkN603Vi4jEZv49LeVJMn4yGwsbzZworEoyEiutsN3nJYdbO36zfhGJ6QEDpOZIFkDtnq5JRxmvl3jsoQ=="
1316
1597
},
···
1320
1601
"is-extglob"
1321
1602
]
1322
1603
},
1604
+
"is-inside-container@1.0.0": {
1605
+
"integrity": "sha512-KIYLCCJghfHZxqjYBE7rEy0OBuTd5xCHS7tHVgvCLkx7StIoaxwNW3hCALgEUjFfeRk+MG/Qxmp/vtETEF3tRA==",
1606
+
"dependencies": [
1607
+
"is-docker"
1608
+
],
1609
+
"bin": true
1610
+
},
1611
+
"is-wsl@3.1.0": {
1612
+
"integrity": "sha512-UcVfVfaK4Sc4m7X3dUSoHoozQGBEFeDC+zVo06t98xe8CzHSZZBekNXH+tu0NalHolcJ/QAGqS46Hef7QXBIMw==",
1613
+
"dependencies": [
1614
+
"is-inside-container"
1615
+
]
1616
+
},
1323
1617
"isexe@2.0.0": {
1324
1618
"integrity": "sha512-RHxMLp9lnKHGHRng9QFhRCMbYAcVpn69smSGcq3f36xjgVVWThj4qqLbTLlq7Ssj8B+fIQ1EuCEGI2lKsyQeIw=="
1325
1619
},
···
1328
1622
},
1329
1623
"js-base64@3.7.8": {
1330
1624
"integrity": "sha512-hNngCeKxIUQiEUN3GPJOkz4wF/YvdUdbNL9hsBcMQTkKzboD7T/q3OYOuuPZLUE6dBxSGpwhk5mwuDud7JVAow=="
1625
+
},
1626
+
"js-md4@0.3.2": {
1627
+
"integrity": "sha512-/GDnfQYsltsjRswQhN9fhv3EMw2sCpUdrdxyWDOUK7eyD++r3gRhzgiQgc/x4MAv2i1iuQ4lxO5mvqM3vj4bwA=="
1331
1628
},
1332
1629
"js-yaml@4.1.1": {
1333
1630
"integrity": "sha512-qQKT4zQxXl8lLwBtHMWwaTcGfFOZviOJet3Oy/xmGk2gZH677CJM9EvtfdSkgWcATZhj/55JZ0rmy3myCT5lsA==",
···
1365
1662
"eslint-visitor-keys@3.4.3",
1366
1663
"espree@9.6.1_acorn@8.15.0",
1367
1664
"semver"
1665
+
]
1666
+
},
1667
+
"jsonwebtoken@9.0.3": {
1668
+
"integrity": "sha512-MT/xP0CrubFRNLNKvxJ2BYfy53Zkm++5bX9dtuPbqAeQpTVe0MQTFhao8+Cp//EmJp244xt6Drw/GVEGCUj40g==",
1669
+
"dependencies": [
1670
+
"jws",
1671
+
"lodash.includes",
1672
+
"lodash.isboolean",
1673
+
"lodash.isinteger",
1674
+
"lodash.isnumber",
1675
+
"lodash.isplainobject",
1676
+
"lodash.isstring",
1677
+
"lodash.once",
1678
+
"ms",
1679
+
"semver"
1680
+
]
1681
+
},
1682
+
"jwa@2.0.1": {
1683
+
"integrity": "sha512-hRF04fqJIP8Abbkq5NKGN0Bbr3JxlQ+qhZufXVr0DvujKy93ZCbXZMHDL4EOtodSbCWxOqR8MS1tXA5hwqCXDg==",
1684
+
"dependencies": [
1685
+
"buffer-equal-constant-time",
1686
+
"ecdsa-sig-formatter",
1687
+
"safe-buffer"
1688
+
]
1689
+
},
1690
+
"jws@4.0.1": {
1691
+
"integrity": "sha512-EKI/M/yqPncGUUh44xz0PxSidXFr/+r0pA70+gIYhjv+et7yxM+s29Y+VGDkovRofQem0fs7Uvf4+YmAdyRduA==",
1692
+
"dependencies": [
1693
+
"jwa",
1694
+
"safe-buffer"
1368
1695
]
1369
1696
},
1370
1697
"keyv@4.5.4": {
···
1414
1741
"p-locate"
1415
1742
]
1416
1743
},
1744
+
"lodash.includes@4.3.0": {
1745
+
"integrity": "sha512-W3Bx6mdkRTGtlJISOvVD/lbqjTlPPUDTMnlXZFnVwi9NKJ6tiAk6LVdlhZMm17VZisqhKcgzpO5Wz91PCt5b0w=="
1746
+
},
1747
+
"lodash.isboolean@3.0.3": {
1748
+
"integrity": "sha512-Bz5mupy2SVbPHURB98VAcw+aHh4vRV5IPNhILUCsOzRmsTmSQ17jIuqopAentWoehktxGd9e/hbIXq980/1QJg=="
1749
+
},
1750
+
"lodash.isinteger@4.0.4": {
1751
+
"integrity": "sha512-DBwtEWN2caHQ9/imiNeEA5ys1JoRtRfY3d7V9wkqtbycnAmTvRRmbHKDV4a0EYc678/dia0jrte4tjYwVBaZUA=="
1752
+
},
1753
+
"lodash.isnumber@3.0.3": {
1754
+
"integrity": "sha512-QYqzpfwO3/CWf3XP+Z+tkQsfaLL/EnUlXWVkIk5FUPc4sBdTehEqZONuyRt2P67PXAk+NXmTBcc97zw9t1FQrw=="
1755
+
},
1756
+
"lodash.isplainobject@4.0.6": {
1757
+
"integrity": "sha512-oSXzaWypCMHkPC3NvBEaPHf0KsA5mvPrOPgQWDsbg8n7orZ290M0BmC/jgRZ4vcJ6DTAhjrsSYgdsW/F+MFOBA=="
1758
+
},
1759
+
"lodash.isstring@4.0.1": {
1760
+
"integrity": "sha512-0wJxfxH1wgO3GrbuP+dTTk7op+6L41QCXbGINEmD+ny/G/eCqGzxyCsh7159S+mgDDcoarnBw6PC1PS5+wUGgw=="
1761
+
},
1417
1762
"lodash.merge@4.6.2": {
1418
1763
"integrity": "sha512-0KpjqXRVvrYyCsX1swR/XTK0va6VQkQM6MNo7PqW77ByjAhoARA8EfrP1N4+KlKj8YS0ZUCtRT/YUuhyYDujIQ=="
1764
+
},
1765
+
"lodash.once@4.1.1": {
1766
+
"integrity": "sha512-Sb487aTOCr9drQVL8pIxOzVhafOjZN9UU54hiN8PU3uAiSV7lx1yYNpbNmex2PK6dSJoNTSJUUswT651yww3Mg=="
1419
1767
},
1420
1768
"lodash@4.17.21": {
1421
1769
"integrity": "sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg=="
···
1832
2180
"ms@2.1.3": {
1833
2181
"integrity": "sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA=="
1834
2182
},
2183
+
"mssql@11.0.1": {
2184
+
"integrity": "sha512-KlGNsugoT90enKlR8/G36H0kTxPthDhmtNUCwEHvgRza5Cjpjoj+P2X6eMpFUDN7pFrJZsKadL4x990G8RBE1w==",
2185
+
"dependencies": [
2186
+
"@tediousjs/connection-string",
2187
+
"commander",
2188
+
"debug",
2189
+
"rfdc",
2190
+
"tarn",
2191
+
"tedious"
2192
+
],
2193
+
"bin": true
2194
+
},
1835
2195
"nanoid@3.3.11": {
1836
2196
"integrity": "sha512-N8SpfPUnUp1bK+PMYW8qSWdl9U+wwNWI4QKxOYDy9JAro3WMX7p2OeVRF9v+347pnakNevPmiHhNmZ2HbFA76w==",
1837
2197
"bin": true
···
1839
2199
"nanoid@5.1.5": {
1840
2200
"integrity": "sha512-Ir/+ZpE9fDsNH0hQ3C68uyThDXzYcim2EqcZ8zn8Chtt1iylPT9xXJB0kPCnqzgcEGikO9RxSrh63MsmVCU7Fw==",
1841
2201
"bin": true
2202
+
},
2203
+
"native-duplexpair@1.0.0": {
2204
+
"integrity": "sha512-E7QQoM+3jvNtlmyfqRZ0/U75VFgCls+fSkbml2MpgWkWyz3ox8Y58gNhfuziuQYGNNQAbFZJQck55LHCnCK6CA=="
1842
2205
},
1843
2206
"natural-compare@1.4.0": {
1844
2207
"integrity": "sha512-OWND8ei3VtNC9h7V60qff3SVobHr996CTwgxubgyQYEpg290h9J0buyECNNJexkFm5sOajh5G116RYA1c8ZMSw=="
···
1877
2240
"integrity": "sha512-lNaJgI+2Q5URQBkccEKHTQOPaXdUxnZZElQTZY0MFUAuaEqe1E+Nyvgdz/aIyNi6Z9MzO5dv1H8n58/GELp3+w==",
1878
2241
"dependencies": [
1879
2242
"wrappy"
2243
+
]
2244
+
},
2245
+
"open@10.2.0": {
2246
+
"integrity": "sha512-YgBpdJHPyQ2UE5x+hlSXcnejzAvD0b22U2OuAP+8OnlJT+PjWPxtgmGqKKc+RgTM63U9gN0YzrYc71R2WT/hTA==",
2247
+
"dependencies": [
2248
+
"default-browser",
2249
+
"define-lazy-prop",
2250
+
"is-inside-container",
2251
+
"wsl-utils"
1880
2252
]
1881
2253
},
1882
2254
"openapi3-ts@4.5.0": {
···
2044
2416
"process-warning@5.0.0": {
2045
2417
"integrity": "sha512-a39t9ApHNx2L4+HBnQKqxxHNs1r7KF+Intd8Q/g1bUh6q0WIp9voPXJ/x0j+ZL45KF1pJd9+q2jLIRMfvEshkA=="
2046
2418
},
2419
+
"process@0.11.10": {
2420
+
"integrity": "sha512-cdGef/drWFoydD1JsMzuFf8100nZl+GT+yacc2bEced5f9Rjk4z+WtFUTBu9PhOi9j/jfmBPu0mMEY4wIdAF8A=="
2421
+
},
2047
2422
"promise-limit@2.7.0": {
2048
2423
"integrity": "sha512-7nJ6v5lnJsXwGprnGXga4wx6d1POjvi5Qmf1ivTRxTjH4Z/9Czja/UCMLVmB9N93GeWOU93XaFaEt6jbuoagNw=="
2049
2424
},
···
2063
2438
"quick-format-unescaped@4.0.4": {
2064
2439
"integrity": "sha512-tYC1Q1hgyRuHgloV/YXs2w15unPVh8qfu/qCTfhTYamaw7fyhumKa2yGpdSo87vY32rIclj+4fWYQXUMs9EHvg=="
2065
2440
},
2441
+
"readable-stream@4.7.0": {
2442
+
"integrity": "sha512-oIGGmcpTLwPga8Bn6/Z75SVaH1z5dUut2ibSyAMVhmUggWpmDn2dapB0n7f8nwaSiRtepAsfJyfXIO5DCVAODg==",
2443
+
"dependencies": [
2444
+
"abort-controller",
2445
+
"buffer",
2446
+
"events",
2447
+
"process",
2448
+
"string_decoder"
2449
+
]
2450
+
},
2066
2451
"real-require@0.2.0": {
2067
2452
"integrity": "sha512-57frrGM/OCTLqLOAh0mhVA9VBMHd+9U7Zb2THMGdBUoZVOtGbJzjxsYGDJ3A9AYYCP4hn6y1TVbaOfzWtm5GFg=="
2068
2453
},
···
2099
2484
"resolve-pkg-maps@1.0.0": {
2100
2485
"integrity": "sha512-seS2Tj26TBVOC2NIc2rOe2y2ZO7efxITtLZcGSOnHHNOQ7CkiUBfw0Iw2ck6xkIhPwLhKNLS8BO+hEpngQlqzw=="
2101
2486
},
2487
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2488
+
"integrity": "sha512-q1b3N5QkRUWUl7iyylaaj3kOpIT0N2i9MqIEQXP73GVsN9cw3fdx8X63cEmWhJGi2PPCF23Ijp7ktmd39rawIA=="
2489
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},
2490
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"run-applescript@7.1.0": {
2491
+
"integrity": "sha512-DPe5pVFaAsinSaV6QjQ6gdiedWDcRCbUuiQfQa2wmWV7+xC9bGulGI8+TdRmoFkAPaBXk8CrAbnlY2ISniJ47Q=="
2492
+
},
2493
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"safe-buffer@5.2.1": {
2494
+
"integrity": "sha512-rp3So07KcdmmKbGvgaNxQSJr7bGVSVk5S9Eq1F+ppbRo70+YeaDxkw5Dd8NPN+GD6bjnYm2VuPuCXmpuYvmCXQ=="
2495
+
},
2102
2496
"safe-stable-stringify@2.5.0": {
2103
2497
"integrity": "sha512-b3rppTKm9T+PsVCBEOUR46GWI7fdOs00VKZ1+9c1EWDaDMvjQc6tUwuFyIprgGgTcWoVHSKrU8H31ZHA2e0RHA=="
2498
+
},
2499
+
"safer-buffer@2.1.2": {
2500
+
"integrity": "sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg=="
2104
2501
},
2105
2502
"scslre@0.3.0": {
2106
2503
"integrity": "sha512-3A6sD0WYP7+QrjbfNA2FN3FsOaGGFoekCVgTyypy53gPxhbkCIjtO6YWgdrfM+n/8sI8JeXZOIxsHjMTNxQ4nQ==",
···
2154
2551
"split2@4.2.0": {
2155
2552
"integrity": "sha512-UcjcJOWknrNkF6PLX83qcHM6KHgVKNkV62Y8a5uYDVv9ydGQVwAHMKqHdJje1VTWpljG0WYpCDhrCdAOYH4TWg=="
2156
2553
},
2554
+
"sprintf-js@1.1.3": {
2555
+
"integrity": "sha512-Oo+0REFV59/rz3gfJNKQiBlwfHaSESl1pcGyABQsnnIfWOFt6JNj5gCog2U6MLZ//IGYD+nA8nI+mTShREReaA=="
2556
+
},
2157
2557
"stoker@2.0.1_@hono+zod-openapi@1.1.5__hono@4.11.0__zod@4.1.13_hono@4.11.0_zod@4.1.13": {
2158
2558
"integrity": "sha512-liSQNnJmn8fWSEan7sVaFe6iSHuN3X02fDGLS6snwW+FUuKi5HmKUHm3P+Kzr5xiDPqRpmSTtmGEBbSL9H2zkQ==",
2159
2559
"dependencies": [
···
2162
2562
],
2163
2563
"optionalPeers": [
2164
2564
"@hono/zod-openapi"
2565
+
]
2566
+
},
2567
+
"string_decoder@1.3.0": {
2568
+
"integrity": "sha512-hkRX8U1WjJFd8LsDJ2yQ/wWWxaopEsABU1XfkM8A+j0+85JAGppt16cr1Whg6KIbb4okU6Mql6BOj+uup/wKeA==",
2569
+
"dependencies": [
2570
+
"safe-buffer"
2165
2571
]
2166
2572
},
2167
2573
"strip-indent@4.1.1": {
···
2191
2597
"tapable@2.3.0": {
2192
2598
"integrity": "sha512-g9ljZiwki/LfxmQADO3dEY1CbpmXT5Hm2fJ+QaGKwSXUylMybePR7/67YW7jOrrvjEgL1Fmz5kzyAjWVWLlucg=="
2193
2599
},
2600
+
"tarn@3.0.2": {
2601
+
"integrity": "sha512-51LAVKUSZSVfI05vjPESNc5vwqqZpbXCsU+/+wxlOrUjk2SnFTt97v9ZgQrD4YmxYW1Px6w2KjaDitCfkvgxMQ=="
2602
+
},
2603
+
"tedious@18.6.2": {
2604
+
"integrity": "sha512-g7jC56o3MzLkE3lHkaFe2ZdOVFBahq5bsB60/M4NYUbocw/MCrS89IOEQUFr+ba6pb8ZHczZ/VqCyYeYq0xBAg==",
2605
+
"dependencies": [
2606
+
"@azure/core-auth",
2607
+
"@azure/identity",
2608
+
"@azure/keyvault-keys",
2609
+
"@js-joda/core",
2610
+
"@types/node",
2611
+
"bl",
2612
+
"iconv-lite",
2613
+
"js-md4",
2614
+
"native-duplexpair",
2615
+
"sprintf-js"
2616
+
]
2617
+
},
2194
2618
"thread-stream@3.1.0": {
2195
2619
"integrity": "sha512-OqyPZ9u96VohAyMfJykzmivOrY2wfMSf3C5TtFJVgN+Hm6aj+voFhlK+kZEIv2FBh1X6Xp3DlnCOfEQ3B2J86A==",
2196
2620
"dependencies": [
···
2233
2657
"typescript"
2234
2658
]
2235
2659
},
2660
+
"tslib@2.8.1": {
2661
+
"integrity": "sha512-oJFu94HQb+KVduSUQL7wnpmqnfmLsOA/nAh6b6EH0wCEoK0/mPeXU6c3wKDV83MkOuHPRHtSXKKU99IBazS/2w=="
2662
+
},
2236
2663
"type-check@0.4.0": {
2237
2664
"integrity": "sha512-XleUoc9uwGXqjWwXaUTZAmzMcFZ5858QA2vvx1Ur5xIcixXIP+8LnFDgRplU30us6teqdlskFfu+ae4K79Ooew==",
2238
2665
"dependencies": [
···
2300
2727
"util-deprecate@1.0.2": {
2301
2728
"integrity": "sha512-EPD5q1uXyFxJpCrLnCc1nHnq3gOa6DZBocAIiI2TaSCA7VCJ1UJDMagCzIkXNsUYfD1daK//LTEQ8xiIbrHtcw=="
2302
2729
},
2730
+
"uuid@8.3.2": {
2731
+
"integrity": "sha512-+NYs2QeMWy+GWFOEm9xnn6HCDp0l7QBD7ml8zLUmJ+93Q5NF0NocErnwkTkXVFNiX3/fpC6afS8Dhb/gz7R7eg==",
2732
+
"bin": true
2733
+
},
2303
2734
"vue-eslint-parser@10.2.0_eslint@9.39.2": {
2304
2735
"integrity": "sha512-CydUvFOQKD928UzZhTp4pr2vWz1L+H99t7Pkln2QSPdvmURT0MoC4wUccfCnuEaihNsu9aYYyk+bep8rlfkUXw==",
2305
2736
"dependencies": [
···
2331
2762
"ws@8.18.3": {
2332
2763
"integrity": "sha512-PEIGCY5tSlUt50cqyMXfCzX+oOPqN0vuGqWzbcJ2xvnkzkq46oOpz7dQaTDBdfICb4N14+GARUDw2XV2N4tvzg=="
2333
2764
},
2765
+
"wsl-utils@0.1.0": {
2766
+
"integrity": "sha512-h3Fbisa2nKGPxCpm89Hk33lBLsnaGBvctQopaBSOW/uIs6FTe1ATyAnKFJrzVs9vpGdsTe73WF3V4lIsk4Gacw==",
2767
+
"dependencies": [
2768
+
"is-wsl"
2769
+
]
2770
+
},
2334
2771
"xml-name-validator@4.0.0": {
2335
2772
"integrity": "sha512-ICP2e+jsHvAj2E2lIHxa5tjXRlKDJo4IdvPvCXbXQGdzSfmSpNVyIKMvoZHjDY9DP0zV17iI85o90vRFXNccRw=="
2336
2773
},
···
2363
2800
"npm:@libsql/client@~0.15.15",
2364
2801
"npm:@scalar/hono-api-reference@~0.9.28",
2365
2802
"npm:@types/deno@^2.5.0",
2366
-
"npm:drizzle-orm@~0.45.1",
2803
+
"npm:drizzle-orm@^1.0.0-beta.6-c513c71",
2367
2804
"npm:drizzle-zod@~0.8.3",
2368
2805
"npm:eslint@^9.39.2",
2369
2806
"npm:hono-pino@~0.10.3",
+7
-1
server/eslint.config.mjs
+7
-1
server/eslint.config.mjs
+1
-1
server/jail/drizzle-kit/Containerfile
+1
-1
server/jail/drizzle-kit/Containerfile
+2
-2
server/runtimes/dev.ts
+2
-2
server/runtimes/dev.ts
···
1
-
import openapiConfig from '@/openapi.config.ts'
2
-
import { PhotoAPI } from '@/src/app.ts'
3
1
import type { AppBindings } from '@/types.ts'
4
2
import { OpenAPIHono } from '@hono/zod-openapi'
5
3
import { Scalar } from '@scalar/hono-api-reference'
···
7
5
import pino from 'pino'
8
6
import pretty from 'pino-pretty'
9
7
import defaultHook from 'stoker/openapi/default-hook'
8
+
import openapiConfig from '@/openapi.config.ts'
9
+
import { PhotoAPI } from '@/src/app.ts'
10
10
11
11
function devTools(app: OpenAPIHono<AppBindings>) {
12
12
app.use(pinoLogger({
+1
-1
server/runtimes/generate.ts
+1
-1
server/runtimes/generate.ts
···
1
-
import { PhotoAPI } from '@/src/app.ts'
2
1
import type { AppBindings } from '@/types.ts'
3
2
import { OpenAPIHono } from '@hono/zod-openapi'
4
3
import defaultHook from 'stoker/openapi/default-hook'
4
+
import { PhotoAPI } from '@/src/app.ts'
5
5
6
6
new PhotoAPI(new OpenAPIHono<AppBindings>({
7
7
strict: false,
+1
-1
server/runtimes/main.ts
+1
-1
server/runtimes/main.ts
···
1
-
import { PhotoAPI } from '@/src/app.ts'
2
1
import type { AppBindings } from '@/types.ts'
3
2
import { OpenAPIHono } from '@hono/zod-openapi'
4
3
import defaultHook from 'stoker/openapi/default-hook'
4
+
import { PhotoAPI } from '@/src/app.ts'
5
5
6
6
new PhotoAPI(new OpenAPIHono<AppBindings>({
7
7
strict: false,
+122
server/src/albums-segmented.ts
+122
server/src/albums-segmented.ts
···
1
+
import { createInsertSchema, sole } from "@/src/common.ts";
2
+
import db from "@/src/db/index.ts";
3
+
import { album as albumTb, segmentToPhoto } from "@/src/db/schema/album.ts";
4
+
import { albumSection, albumSegment } from "@/src/db/schema/index.ts";
5
+
import { createRoute, z } from "@hono/zod-openapi";
6
+
import { createSelectSchema } from "drizzle-zod";
7
+
import * as HttpStatusCodes from "stoker/http-status-codes";
8
+
import jsonContent from "stoker/openapi/helpers/json-content";
9
+
import jsonContentRequired from "stoker/openapi/helpers/json-content-required";
10
+
import createErrorSchema from "stoker/openapi/schemas/create-error-schema";
11
+
import type { Passthrough } from "./app.ts";
12
+
import { albumToPhoto, photo } from "./db/schema/index.ts";
13
+
14
+
export const routes: Array<Passthrough> = [
15
+
(app) =>
16
+
app.openapi(
17
+
createRoute({
18
+
path: "/segmentedAlbumWithNewPhotosWBluntGeo",
19
+
method: "post",
20
+
request: {
21
+
body: jsonContentRequired(
22
+
segmentedAlbumWithNewPhotosWBluntGeo,
23
+
"album to create",
24
+
),
25
+
},
26
+
responses: {
27
+
[HttpStatusCodes.OK]: jsonContent(
28
+
createSelectSchema(albumTb),
29
+
"created album",
30
+
),
31
+
[HttpStatusCodes.UNPROCESSABLE_ENTITY]: jsonContent(
32
+
createErrorSchema(segmentedAlbumWithNewPhotosWBluntGeo),
33
+
"validation errors",
34
+
),
35
+
},
36
+
}),
37
+
async (c) => {
38
+
const album = c.req.valid("json");
39
+
const [createdAlbum] = await db.insert(albumTb).values(album.album)
40
+
.returning();
41
+
42
+
for (const section of album.sections) {
43
+
const [createdSection] = await db.insert(albumSection).values([{
44
+
albumId: createdAlbum.id,
45
+
}]).returning();
46
+
for (const segment of section.segments) {
47
+
const createdSegment = sole(
48
+
await db.insert(albumSegment).values([{
49
+
sectionId: createdSection.id,
50
+
}]).returning(),
51
+
);
52
+
53
+
const imgs = segment.images.map((i) => {
54
+
return {
55
+
fileName: i.file,
56
+
dateCreated: i.timestamp.getTime(),
57
+
dateModified: i.timestamp.getTime(),
58
+
width: i.metadata.width,
59
+
height: i.metadata.height,
60
+
orientation: i.metadata.orientation,
61
+
region: i.metadata.region,
62
+
};
63
+
});
64
+
65
+
const createdPhotos = await db.insert(photo).values(imgs).returning();
66
+
67
+
await db.insert(segmentToPhoto).values(createdPhotos.map((p) => {
68
+
return {
69
+
segmentId: createdSegment.id,
70
+
photoId: p.id,
71
+
};
72
+
}));
73
+
await db.insert(albumToPhoto).values(createdPhotos.map((p) => {
74
+
return {
75
+
albumId: createdAlbum.id,
76
+
photoId: p.id,
77
+
};
78
+
}));
79
+
}
80
+
}
81
+
return c.json(createdAlbum, HttpStatusCodes.OK);
82
+
},
83
+
),
84
+
];
85
+
86
+
const segmentedAlbumWithNewPhotosWBluntGeo = z.object({
87
+
album: createInsertSchema(albumTb).omit({
88
+
id: true,
89
+
cover: true,
90
+
}),
91
+
sections: z.array(z.object({
92
+
segments: z.array(z.object({
93
+
images: z.array(z.object({
94
+
file: z.string(),
95
+
timestamp: z.coerce.date(),
96
+
metadata: z.object({
97
+
width: z.number(),
98
+
height: z.number(),
99
+
orientation: z.number(),
100
+
region: z.optional(z.string()),
101
+
}),
102
+
})),
103
+
})),
104
+
})),
105
+
});
106
+
107
+
const segmentedAlbumWithNewPhotos = z.object({
108
+
album: createInsertSchema(albumTb).omit({
109
+
id: true,
110
+
cover: true,
111
+
}),
112
+
sections: z.array(z.object({
113
+
segments: z.array(z.object({
114
+
images: z.array(
115
+
createInsertSchema(photo).omit({
116
+
id: true,
117
+
takenWith: true,
118
+
}),
119
+
),
120
+
})),
121
+
})),
122
+
});
+179
server/src/albums.ts
+179
server/src/albums.ts
···
1
+
import { createInsertSchema, mapInBatches } from "@/src/common.ts";
2
+
import db from "@/src/db/index.ts";
3
+
import { album as albumTb } from "@/src/db/schema/album.ts";
4
+
import { createRoute, z } from "@hono/zod-openapi";
5
+
import { createSelectSchema } from "drizzle-zod";
6
+
import * as HttpStatusCodes from "stoker/http-status-codes";
7
+
import jsonContent from "stoker/openapi/helpers/json-content";
8
+
import jsonContentRequired from "stoker/openapi/helpers/json-content-required";
9
+
import createErrorSchema from "stoker/openapi/schemas/create-error-schema";
10
+
import IdParamsSchema from "stoker/openapi/schemas/id-params";
11
+
import type { App, Passthrough } from "./app.ts";
12
+
import { albumToPhoto, photo } from "./db/schema/index.ts";
13
+
14
+
export const routes: Array<Passthrough> = [
15
+
(app) =>
16
+
app.openapi(
17
+
createRoute({
18
+
path: "/albums",
19
+
method: "get",
20
+
responses: {
21
+
[HttpStatusCodes.OK]: jsonContent(listOf, "all albums"),
22
+
},
23
+
}),
24
+
async (c) => c.json(await db.query.album.findMany()),
25
+
),
26
+
(app) =>
27
+
app.openapi(
28
+
createRoute({
29
+
path: "/album/{id}",
30
+
method: "get",
31
+
request: {
32
+
params: IdParamsSchema,
33
+
},
34
+
responses: {
35
+
[HttpStatusCodes.OK]: jsonContent(
36
+
createSelectSchema(albumTb),
37
+
"an album",
38
+
),
39
+
[HttpStatusCodes.UNPROCESSABLE_ENTITY]: jsonContent(
40
+
createErrorSchema(createSelectSchema(albumTb)),
41
+
"validation errors",
42
+
),
43
+
},
44
+
}),
45
+
async (c) => {
46
+
const params = c.req.valid("param");
47
+
return c.json(
48
+
await db.query.album.findFirst({
49
+
where: {
50
+
id: params.id,
51
+
},
52
+
with: {
53
+
sections: {
54
+
columns: {
55
+
id: true,
56
+
},
57
+
with: {
58
+
segments: true,
59
+
},
60
+
},
61
+
},
62
+
}),
63
+
HttpStatusCodes.OK,
64
+
);
65
+
},
66
+
),
67
+
createAlbum,
68
+
createBatchPhotosInAlbum,
69
+
];
70
+
71
+
const listOf = z.array(createSelectSchema(albumTb, {}));
72
+
73
+
function createAlbum(app: App) {
74
+
return app.openapi(
75
+
createRoute({
76
+
path: "/album",
77
+
method: "post",
78
+
request: {
79
+
body: jsonContentRequired(
80
+
albumWithExistingPhotos,
81
+
"album to create",
82
+
),
83
+
},
84
+
responses: {
85
+
[HttpStatusCodes.OK]: jsonContent(
86
+
createSelectSchema(albumTb),
87
+
"created album",
88
+
),
89
+
[HttpStatusCodes.UNPROCESSABLE_ENTITY]: jsonContent(
90
+
createErrorSchema(albumWithExistingPhotos),
91
+
"validation errors",
92
+
),
93
+
},
94
+
}),
95
+
async (c) => {
96
+
const album = c.req.valid("json");
97
+
const [created] = await db.insert(albumTb).values(album.album)
98
+
.returning();
99
+
const v = album.contents.map((photoId) => {
100
+
return {
101
+
albumId: created.id,
102
+
photoId,
103
+
};
104
+
});
105
+
await db.insert(albumToPhoto).values(v);
106
+
return c.json(created, HttpStatusCodes.OK);
107
+
},
108
+
);
109
+
}
110
+
111
+
const albumWithExistingPhotos = z.object({
112
+
album: createInsertSchema(albumTb).omit({
113
+
id: true,
114
+
cover: true,
115
+
}),
116
+
contents: z.array(
117
+
createInsertSchema(albumToPhoto).shape.photoId,
118
+
),
119
+
});
120
+
121
+
function createBatchPhotosInAlbum(app: App) {
122
+
return app.openapi(
123
+
createRoute({
124
+
path: "/batchPhotosInAlbum",
125
+
method: "post",
126
+
request: {
127
+
body: jsonContentRequired(
128
+
albumWithNewPhotos,
129
+
"album to create",
130
+
),
131
+
},
132
+
responses: {
133
+
[HttpStatusCodes.OK]: jsonContent(
134
+
createSelectSchema(albumTb),
135
+
"created album",
136
+
),
137
+
[HttpStatusCodes.UNPROCESSABLE_ENTITY]: jsonContent(
138
+
createErrorSchema(albumWithNewPhotos),
139
+
"validation errors",
140
+
),
141
+
},
142
+
}),
143
+
async (c) => {
144
+
const album = c.req.valid("json");
145
+
const [createdAlbum] = await db.insert(albumTb).values(album.album)
146
+
.returning();
147
+
148
+
const createdPhotos = await mapInBatches(
149
+
album.contents,
150
+
// Math.floor(65564 / 10),
151
+
1000,
152
+
async (values) => {
153
+
return await db.insert(photo).values(values).returning();
154
+
},
155
+
);
156
+
const v = createdPhotos.map((photoRecord) => {
157
+
return {
158
+
albumId: createdAlbum.id,
159
+
photoId: photoRecord.id,
160
+
};
161
+
});
162
+
await db.insert(albumToPhoto).values(v);
163
+
return c.json(createdAlbum, HttpStatusCodes.OK);
164
+
},
165
+
);
166
+
}
167
+
168
+
const albumWithNewPhotos = z.object({
169
+
album: createInsertSchema(albumTb).omit({
170
+
id: true,
171
+
cover: true,
172
+
}),
173
+
contents: z.array(
174
+
createInsertSchema(photo).omit({
175
+
id: true,
176
+
takenWith: true,
177
+
}),
178
+
),
179
+
});
+36
-13
server/src/app.ts
+36
-13
server/src/app.ts
···
1
-
import type { OpenAPIHono } from '@hono/zod-openapi'
2
1
import type { AppBindings } from '@/types.ts'
2
+
import type { OpenAPIHono } from '@hono/zod-openapi'
3
3
4
+
import env from '@/env.ts'
5
+
import openApiConf from '@/openapi.config.ts'
6
+
import { ErrorHandler } from "hono"
7
+
import { INTERNAL_SERVER_ERROR } from "stoker/http-status-codes"
4
8
import notFound from 'stoker/middlewares/not-found'
5
-
import onError from 'stoker/middlewares/on-error'
6
-
import openApiConf from '@/openapi.config.ts'
7
-
import { allAlbums, createAlbum } from './routes.ts'
9
+
import { routes as albumSegementedRoutes } from './albums-segmented.ts'
10
+
import { routes as albumRoutes } from './albums.ts'
11
+
import { routes as photoRoutes } from './photos.ts'
8
12
9
13
export type App = Pick<OpenAPIHono<AppBindings>, 'openapi'>
10
14
15
+
export type Passthrough = (a: App) => App
16
+
11
17
interface Routing {
12
-
(r: (a: App) => App): PhotoAPI
18
+
(r: Passthrough): PhotoAPI
13
19
}
14
20
15
21
export class PhotoAPI {
···
21
27
22
28
configureRoutes(): PhotoAPI {
23
29
return this
24
-
.addRoute(allAlbums)
25
-
.addRoute(createAlbum)
26
-
}
27
-
28
-
private addRoute: Routing = (r) => {
29
-
this.app = r(this.app) as OpenAPIHono<AppBindings>
30
-
return this
30
+
.addRoutes(albumRoutes)
31
+
.addRoutes(photoRoutes)
32
+
.addRoutes(albumSegementedRoutes)
31
33
}
32
34
33
35
serve() {
34
36
Deno.serve(this.app
35
37
.notFound(notFound)
36
-
.onError(onError)
38
+
.onError(this.onError)
37
39
.fetch)
38
40
}
39
41
···
41
43
const doc = this.app.getOpenAPI31Document(openApiConf)
42
44
Deno.writeTextFileSync(path, JSON.stringify(doc, null, 2))
43
45
}
46
+
47
+
private addRoute: Routing = (r) => {
48
+
this.app = r(this.app) as OpenAPIHono<AppBindings>
49
+
return this
50
+
}
51
+
52
+
addRoutes(routies: Array<Passthrough>): PhotoAPI {
53
+
routies.forEach(this.addRoute)
54
+
return this
55
+
}
56
+
private onError: ErrorHandler<AppBindings> = (err, c) => {
57
+
c.var.logger.error(err.message)
58
+
c.var.logger.error(err.stack)
59
+
return c.json(
60
+
{
61
+
message: err.message,
62
+
stack: env.NODE_ENV === "production" ? void 0 : err.stack
63
+
},
64
+
INTERNAL_SERVER_ERROR
65
+
);
66
+
};
44
67
}
+53
server/src/common.ts
+53
server/src/common.ts
···
1
+
import { createSchemaFactory } from 'drizzle-zod';
2
+
3
+
export const { createInsertSchema } = createSchemaFactory({
4
+
coerce: {
5
+
date: true,
6
+
},
7
+
})
8
+
9
+
export async function batch<T>(
10
+
items: T[],
11
+
batchSize: number,
12
+
consumer: (batch: T[]) => Promise<void>
13
+
): Promise<void> {
14
+
for (let i = 0; i < items.length; i += batchSize) {
15
+
const batch = items.slice(i, i + batchSize);
16
+
// Wait for the current batch to finish before starting the next
17
+
await consumer(batch);
18
+
}
19
+
}
20
+
21
+
/**
22
+
* Processes an array in batches and accumulates the results.
23
+
* * @template T - The type of input items
24
+
* @template R - The type of individual processed results
25
+
* @param items - The source array
26
+
* @param batchSize - Size of each batch
27
+
* @param processor - Function that processes a batch and returns an array of results
28
+
* @returns A single flattened array of all results
29
+
*/
30
+
export async function mapInBatches<T, R>(
31
+
items: T[],
32
+
batchSize: number,
33
+
processor: (batch: T[]) => Promise<R[]>
34
+
): Promise<R[]> {
35
+
const allResults: R[] = [];
36
+
37
+
for (let i = 0; i < items.length; i += batchSize) {
38
+
const batch = items.slice(i, i + batchSize);
39
+
40
+
// Execute the processor for the current chunk
41
+
const batchResult = await processor(batch);
42
+
43
+
// Accumulate the results into the main list
44
+
allResults.push(...batchResult);
45
+
}
46
+
47
+
return allResults;
48
+
}
49
+
50
+
export function sole<I>(list: I[]): I {
51
+
const [val] = list
52
+
return val
53
+
}
+3
-3
server/src/db/index.ts
+3
-3
server/src/db/index.ts
···
1
-
import { drizzle } from 'drizzle-orm/libsql'
2
1
import env from '@/env.ts'
3
-
import * as schema from './schema/index.ts'
2
+
import { drizzle } from 'drizzle-orm/libsql'
3
+
import { relations } from './schema/index.ts'
4
4
5
-
const db = drizzle(env.DATABASE_URL, { schema })
5
+
const db = drizzle(env.DATABASE_URL, { relations })
6
6
7
7
export default db
+38
-3
server/src/db/schema/album.ts
+38
-3
server/src/db/schema/album.ts
···
1
-
import { int, primaryKey, sqliteTable, text } from 'drizzle-orm/sqlite-core'
2
-
import { photo } from './photo.ts'
1
+
import { int, primaryKey, sqliteTable, text } from 'drizzle-orm/sqlite-core';
2
+
import { photo } from './photo.ts';
3
3
4
4
export const album = sqliteTable('album', {
5
-
id: int().primaryKey({ autoIncrement: true }),
5
+
id: int('id', { mode: 'number' }).primaryKey({ autoIncrement: true }),
6
6
title: text().notNull(),
7
7
year: int().notNull(),
8
8
cover: text(),
9
9
})
10
10
11
+
export const albumSection = sqliteTable('albumSection', {
12
+
albumId: int().notNull().references(() => album.id),
13
+
id: int('id', { mode: 'number' }).primaryKey({ autoIncrement: true }),
14
+
})
15
+
16
+
export const albumSegment = sqliteTable('albumSegment', {
17
+
sectionId: int().notNull().references(() => albumSection.id),
18
+
id: int('id', { mode: 'number' }).primaryKey({ autoIncrement: true }),
19
+
day: text(),
20
+
month: text(),
21
+
year: text()
22
+
})
23
+
11
24
export const albumToPhoto = sqliteTable('albumToPhoto', {
12
25
albumId: int().notNull().references(() => album.id),
13
26
photoId: int().notNull().references(() => photo.id),
14
27
}, table => [
15
28
primaryKey({ columns: [table.albumId, table.photoId] }),
16
29
])
30
+
31
+
export const segmentToPhoto = sqliteTable('segmentToPhoto', {
32
+
segmentId: int().notNull().references(() => albumSegment.id),
33
+
photoId: int().notNull().references(() => photo.id),
34
+
}, table => [
35
+
primaryKey({ columns: [table.segmentId, table.photoId] }),
36
+
])
37
+
38
+
/*
39
+
export const albumsMeta = sqliteView("album_sections_view").as((qb) => qb
40
+
.select({
41
+
id: album.id,
42
+
title: album.title,
43
+
cover: album.cover,
44
+
// photosCount: count(albumToPhoto.photoId)
45
+
photosCount: sql`count(*)`.mapWith(Number)
46
+
})
47
+
.from(album)
48
+
.leftJoin(albumToPhoto, eq(albumToPhoto.albumId, album.id))
49
+
.groupBy(album.id)
50
+
);
51
+
*/
+31
-2
server/src/db/schema/index.ts
+31
-2
server/src/db/schema/index.ts
···
1
-
export * from './album.ts'
2
-
export * from './photo.ts'
1
+
import { defineRelations } from "drizzle-orm";
2
+
import { album, albumSection, albumSegment } from "./album.ts";
3
+
import { photo } from './photo.ts';
4
+
5
+
export const relations = defineRelations({
6
+
album,
7
+
albumSection,
8
+
albumSegment,
9
+
photo
10
+
}, (r) => ({
11
+
albumSegment: {
12
+
parent: r.one.albumSection({
13
+
from: r.albumSegment.sectionId,
14
+
to: r.albumSection.id
15
+
})
16
+
},
17
+
albumSection: {
18
+
parent: r.one.album({
19
+
from: r.albumSection.albumId,
20
+
to: r.album.id,
21
+
}),
22
+
segments: r.many.albumSegment()
23
+
},
24
+
album: {
25
+
sections: r.many.albumSection()
26
+
}
27
+
}))
28
+
29
+
export * from './album.ts';
30
+
export * from './photo.ts';
31
+
+16
-5
server/src/db/schema/photo.ts
+16
-5
server/src/db/schema/photo.ts
···
1
-
import { int, real, sqliteTable, text } from 'drizzle-orm/sqlite-core'
1
+
import { defineRelations } from "drizzle-orm";
2
+
import { int, integer, real, sqliteTable, sqliteView, text } from 'drizzle-orm/sqlite-core';
2
3
3
4
export const photo = sqliteTable('photo', {
4
-
id: int().notNull().primaryKey({ autoIncrement: true }),
5
+
id: integer({ mode: 'number' }).notNull().primaryKey({ autoIncrement: true }),
5
6
fileName: text().notNull(),
6
-
dateCreated: int({ mode: 'timestamp_ms' }).notNull(),
7
-
dateModified: int({ mode: 'timestamp_ms' }).notNull(),
7
+
dateCreated: int().notNull(),
8
+
dateModified: int().notNull(),
8
9
lat: real(),
9
10
lon: real(),
10
11
width: int().notNull(),
11
12
height: int().notNull(),
12
-
takenWith: text().notNull(),
13
+
orientation: int().notNull(),
14
+
region: text(),
15
+
takenWith: text(),
13
16
})
17
+
18
+
const timeline = sqliteView("timeline_view").as((qb) => qb
19
+
.select()
20
+
.from(photo)
21
+
);
22
+
23
+
24
+
export const relations = defineRelations({ photo })
+61
server/src/photos.ts
+61
server/src/photos.ts
···
1
+
import db from '@/src/db/index.ts'
2
+
import { createRoute, z } from '@hono/zod-openapi'
3
+
import { createSelectSchema } from 'drizzle-zod'
4
+
import * as HttpStatusCodes from 'stoker/http-status-codes'
5
+
import jsonContent from 'stoker/openapi/helpers/json-content'
6
+
import jsonContentRequired from 'stoker/openapi/helpers/json-content-required'
7
+
import createErrorSchema from 'stoker/openapi/schemas/create-error-schema'
8
+
import type { Passthrough } from './app.ts'
9
+
import { createInsertSchema, sole } from './common.ts'
10
+
import { photo } from './db/schema/photo.ts'
11
+
12
+
export const routes: Array<Passthrough> = [
13
+
app =>
14
+
app.openapi(
15
+
createRoute({
16
+
path: '/photos',
17
+
method: 'get',
18
+
responses: {
19
+
[HttpStatusCodes.OK]: jsonContent(listOf, 'all photos'),
20
+
},
21
+
}),
22
+
async c => c.json(await db.query.photo.findMany()),
23
+
),
24
+
app =>
25
+
app.openapi(
26
+
createRoute({
27
+
path: '/photo',
28
+
method: 'post',
29
+
request: {
30
+
body: jsonContentRequired(
31
+
createInsertSchema(photo).omit({
32
+
id: true,
33
+
}),
34
+
'photo to create',
35
+
),
36
+
},
37
+
responses: {
38
+
[HttpStatusCodes.OK]: jsonContent(
39
+
createSelectSchema(photo),
40
+
'created photo',
41
+
),
42
+
[HttpStatusCodes.UNPROCESSABLE_ENTITY]: jsonContent(
43
+
createErrorSchema(
44
+
createInsertSchema(photo).omit({
45
+
id: true,
46
+
}),
47
+
),
48
+
'validation errors',
49
+
),
50
+
},
51
+
}),
52
+
async (c) =>
53
+
c.json(
54
+
sole(await db.insert(photo).values(c.req.valid('json')).returning()),
55
+
HttpStatusCodes.OK,
56
+
),
57
+
),
58
+
]
59
+
60
+
const listOf = z.array(createSelectSchema(photo, {
61
+
}))
-68
server/src/routes.ts
-68
server/src/routes.ts
···
1
-
import type { App } from './app.ts'
2
-
import { createRoute, z } from '@hono/zod-openapi'
3
-
import { createInsertSchema, createSelectSchema } from 'drizzle-zod'
4
-
import * as HttpStatusCodes from 'stoker/http-status-codes'
5
-
import jsonContent from 'stoker/openapi/helpers/json-content'
6
-
import jsonContentRequired from 'stoker/openapi/helpers/json-content-required'
7
-
import db from '@/src/db/index.ts'
8
-
import { album as albumTb } from '@/src/db/schema/album.ts'
9
-
import { albumToPhoto } from './db/schema/index.ts'
10
-
11
-
export function allAlbums(app: App): App {
12
-
return app.openapi(
13
-
createRoute({
14
-
path: '/albums',
15
-
method: 'get',
16
-
responses: {
17
-
[HttpStatusCodes.OK]: jsonContent(
18
-
z.array(createSelectSchema(albumTb)),
19
-
'all albums',
20
-
),
21
-
},
22
-
}),
23
-
async c => c.json(await db.query.album.findMany()),
24
-
)
25
-
}
26
-
27
-
export function createAlbum(app: App) {
28
-
return app.openapi(
29
-
createRoute({
30
-
path: '/album',
31
-
method: 'post',
32
-
request: {
33
-
body: jsonContentRequired(
34
-
z.object({
35
-
album: createInsertSchema(albumTb).omit({
36
-
id: true,
37
-
cover: true,
38
-
}),
39
-
contents: z.array(
40
-
createInsertSchema(albumToPhoto).pick({
41
-
photoId: true,
42
-
}),
43
-
),
44
-
}),
45
-
'album to create',
46
-
),
47
-
},
48
-
responses: {
49
-
[HttpStatusCodes.OK]: jsonContent(
50
-
createSelectSchema(albumTb),
51
-
'created album',
52
-
),
53
-
},
54
-
}),
55
-
async (c) => {
56
-
const album = c.req.valid('json')
57
-
const [created] = await db.insert(albumTb).values(album.album).returning()
58
-
const v = album.contents.map((aToP) => {
59
-
return {
60
-
albumId: created.id,
61
-
photoId: aToP.photoId,
62
-
}
63
-
})
64
-
await db.insert(albumToPhoto).values(v)
65
-
return c.json(created)
66
-
},
67
-
)
68
-
}