feat: add Jordan places migration scripts and enhance map controller with style-load safety and camera controls
This commit is contained in:
Hamza-Ayed
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#!/usr/bin/env python3
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"""
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Generate SQL migration file to ingest Jordan (Amman, Zarqa, Irbid) checkpoints CSV into places_jordan
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and refresh the unified_search_index.
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"""
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import csv
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import sys
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import os
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import math
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from collections import defaultdict
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def haversine(lat1, lon1, lat2, lon2):
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R = 6371000
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phi1, phi2 = math.radians(lat1), math.radians(lat2)
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dphi = math.radians(lat2 - lat1)
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dlam = math.radians(lon2 - lon1)
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a = math.sin(dphi/2)**2 + math.cos(phi1)*math.cos(phi2)*math.sin(dlam/2)**2
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return 2 * R * math.atan2(math.sqrt(a), math.sqrt(1 - a))
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def normalize_text(t):
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if not t: return ''
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s = t.strip()
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s = s.replace('أ', 'ا').replace('إ', 'ا').replace('آ', 'ا').replace('ة', 'ه').replace('ى', 'ي')
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return ' '.join(s.split()).lower()
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def clean_str(val):
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if not val:
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return 'NULL'
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s = str(val).strip().replace("'", "''")
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return f"'{s}'"
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def calculate_popularity(row):
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reviews = 0
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try:
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reviews = int(float(row.get('reviews_count') or 0))
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except Exception:
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reviews = 0
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rating = 0.0
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try:
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rating = float(row.get('rating') or 0)
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except Exception:
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rating = 0.0
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score = int(reviews * 0.2 + rating * 5)
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cat = row.get('category_queried', '')
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if any(k in cat for k in ['مستشفى', 'جامعة', 'كلية', 'مركز صحي', 'طوارئ', 'دفاع مدني']):
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score = max(score, 90)
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elif any(k in cat for k in ['صيدلية', 'بنك', 'صراف آلي', 'سوبر ماركت', 'محطة']):
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score = max(score, 60)
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elif any(k in cat for k in ['مدرسة', 'روضة', 'عيادة', 'بلدية', 'دائرة']):
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score = max(score, 50)
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return min(100, max(10, score))
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def main():
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csv_path = 'data/checkpoint_35242_records.csv'
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out_sql_path = 'infrastructure/sql/18_ingest_amman_zarqa_checkpoint.sql'
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if not os.path.exists(csv_path):
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print(f"Error: {csv_path} not found.")
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sys.exit(1)
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print(f"Reading {csv_path}...")
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records = []
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with open(csv_path, 'r', encoding='utf-8-sig') as f:
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reader = csv.DictReader(f)
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for row in reader:
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name = row.get('name', '').strip()
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if not name: continue
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try:
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lat = float(row['latitude'])
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lng = float(row['longitude'])
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except Exception:
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continue
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if not (29.15 <= lat <= 33.45 and 34.85 <= lng <= 39.35):
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continue
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category = row.get('category_queried', '').strip() or 'مكان عام'
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sector = row.get('sector', '').strip()
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gov = row.get('governorate', '').strip() or 'الأردن'
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area = row.get('area', '').strip()
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maps_url = row.get('maps_url', '').strip()
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address = f"{area}, {gov}, الأردن" if area else f"{gov}, الأردن"
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desc = sector if sector else 'نقطة اهتمام في الأردن'
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pop_score = calculate_popularity(row)
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records.append({
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'name': name,
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'norm_name': normalize_text(name),
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'lat': lat,
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'lng': lng,
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'category': category,
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'city': gov,
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'neighbourhood': area,
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'address': address,
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'description': desc,
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'popularity_score': pop_score,
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'maps_url': maps_url
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})
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# Exact dedup
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seen_exact = {}
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seen_urls = {}
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for r in records:
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k = (r['norm_name'], round(r['lat'], 5), round(r['lng'], 5))
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u = r['maps_url']
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if k in seen_exact or (u and u in seen_urls):
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continue
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seen_exact[k] = r
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if u: seen_urls[u] = r
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step1 = list(seen_exact.values())
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# Spatial near-duplicate dedup (<50m)
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by_norm = defaultdict(list)
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for r in step1:
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by_norm[r['norm_name']].append(r)
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final_records = []
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for norm_name, items in by_norm.items():
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if len(items) == 1:
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final_records.append(items[0])
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else:
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items.sort(key=lambda x: x['popularity_score'], reverse=True)
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kept = []
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for candidate in items:
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is_dup = False
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for existing in kept:
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if haversine(candidate['lat'], candidate['lng'], existing['lat'], existing['lng']) < 50:
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is_dup = True
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break
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if not is_dup:
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kept.append(candidate)
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final_records.extend(kept)
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print(f"Total valid unique records for SQL ingestion: {len(final_records)}")
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source_tag = 'checkpoint_35242_amman_zarqa'
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with open(out_sql_path, 'w', encoding='utf-8') as out:
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out.write("-- ============================================================================\n")
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out.write("-- MIGRATION 18: INGEST AMMAN & ZARQA CHECKPOINT DATASET (35,000+ PLACES)\n")
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out.write("-- Ingests into places_jordan and refreshes unified_search_index\n")
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out.write("-- ============================================================================\n\n")
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out.write("BEGIN;\n\n")
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out.write(f"-- Remove previous imports with same source to ensure idempotency\n")
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out.write(f"DELETE FROM places_jordan WHERE source = '{source_tag}';\n\n")
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out.write("ALTER TABLE places_jordan DISABLE TRIGGER trg_sync_place_location_jordan;\n\n")
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batch_size = 1000
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for i in range(0, len(final_records), batch_size):
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batch = final_records[i:i + batch_size]
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out.write("INSERT INTO places_jordan (\n")
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out.write(" name, name_ar, latitude, longitude, category, city, neighbourhood,\n")
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out.write(" address, description, popularity_score, source, location\n")
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out.write(") VALUES\n")
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value_lines = []
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for r in batch:
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c_name = clean_str(r['name'])
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c_cat = clean_str(r['category'])
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c_city = clean_str(r['city'])
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c_area = clean_str(r['neighbourhood'])
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c_addr = clean_str(r['address'])
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c_desc = clean_str(r['description'])
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lat = r['lat']
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lng = r['lng']
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pop = r['popularity_score']
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line = (f" ({c_name}, {c_name}, {lat:.7f}, {lng:.7f}, {c_cat}, {c_city}, {c_area}, "
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f"{c_addr}, {c_desc}, {pop}, '{source_tag}', "
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f"ST_SetSRID(ST_MakePoint({lng:.7f}, {lat:.7f}), 4326))")
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value_lines.append(line)
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out.write(",\n".join(value_lines))
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out.write(";\n\n")
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out.write("ALTER TABLE places_jordan ENABLE TRIGGER trg_sync_place_location_jordan;\n\n")
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out.write(f"UPDATE places_jordan SET governorate_id = 137 WHERE source = '{source_tag}' AND city = 'عمان';\n")
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out.write(f"UPDATE places_jordan SET governorate_id = 5 WHERE source = '{source_tag}' AND city = 'الزرقاء';\n")
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out.write(f"UPDATE places_jordan SET governorate_id = 184 WHERE source = '{source_tag}' AND city = 'إربد';\n\n")
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out.write("COMMIT;\n\n")
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out.write("-- Refresh Unified Search Index to instantly index all new Jordanian places\n")
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out.write("REFRESH MATERIALIZED VIEW CONCURRENTLY unified_search_index;\n\n")
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out.write("ANALYZE places_jordan;\n")
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print(f"✅ Generated SQL file: {out_sql_path} ({os.path.getsize(out_sql_path) / (1024*1024):.2f} MB)")
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if __name__ == '__main__':
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main()
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@@ -0,0 +1,358 @@
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#!/usr/bin/env python3
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"""
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Migrate and deduplicate Jordan (Amman, Zarqa, Irbid) Places Dataset into places_jordan table on PostgreSQL.
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Handles Arabic normalization, spatial bounding box filtering (Jordan bounds),
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exact deduplication, spatial near-duplicate filtering (< 50m), popularity scoring,
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and concurrent refresh of unified_search_index.
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"""
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import os
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import sys
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import csv
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import gzip
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import math
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import time
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import argparse
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from collections import defaultdict, Counter
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def haversine(lat1, lon1, lat2, lon2):
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R = 6371000 # meters
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phi1 = math.radians(lat1)
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phi2 = math.radians(lat2)
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delta_phi = math.radians(lat2 - lat1)
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delta_lambda = math.radians(lon2 - lon1)
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a = math.sin(delta_phi / 2)**2 + math.cos(phi1) * math.cos(phi2) * math.sin(delta_lambda / 2)**2
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return 2 * R * math.atan2(math.sqrt(a), math.sqrt(1 - a))
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def normalize_text(t):
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if not t:
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return ''
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s = t.strip()
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# Normalize Arabic alef, teh marbuta, etc.
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s = s.replace('أ', 'ا').replace('إ', 'ا').replace('آ', 'ا').replace('ة', 'ه').replace('ى', 'ي')
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return ' '.join(s.split()).lower()
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def clean_sql_str(val):
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if val is None:
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return 'NULL'
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s = str(val).strip().replace("'", "''")
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return f"'{s}'"
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def calculate_popularity(row):
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# Reviews and rating
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reviews = 0
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try:
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reviews = int(float(row.get('reviews_count') or 0))
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except Exception:
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reviews = 0
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rating = 0.0
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try:
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rating = float(row.get('rating') or 0)
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except Exception:
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rating = 0.0
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score = int(reviews * 0.2 + rating * 5)
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# Heuristic boost for critical POIs
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cat = row.get('category_queried', '')
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if any(k in cat for k in ['مستشفى', 'جامعة', 'كلية', 'مركز صحي', 'طوارئ', 'دفاع مدني']):
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score = max(score, 90)
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elif any(k in cat for k in ['صيدلية', 'بنك', 'صراف آلي', 'سوبر ماركت', 'محطة']):
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score = max(score, 60)
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elif any(k in cat for k in ['مدرسة', 'روضة', 'عيادة', 'بلدية', 'دائرة']):
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score = max(score, 50)
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return min(100, max(10, score))
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def main():
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parser = argparse.ArgumentParser(description="Migrate Jordan places dataset with deduplication.")
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parser.add_argument("--file", default="", help="Path to CSV file.")
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parser.add_argument("--db-host", default="127.0.0.1", help="Database host")
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parser.add_argument("--db-port", type=int, default=5432, help="Database port")
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parser.add_argument("--db-user", default="mapuser", help="Database user")
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parser.add_argument("--db-pass", default="mappass", help="Database password")
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parser.add_argument("--db-name", default="mapdb", help="Database name")
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parser.add_argument("--dry-run", action="store_true", help="Perform validation and deduplication only without inserting.")
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args = parser.parse_args()
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# Find file
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file_path = args.file
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if not file_path:
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candidates = [
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"data/checkpoint_35242_records.csv",
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"/home/hamzadoctor/app/data/checkpoint_35242_records.csv",
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"checkpoint_35242_records.csv"
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]
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for c in candidates:
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if os.path.exists(c):
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file_path = c
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break
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if not file_path or not os.path.exists(file_path):
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print(f"❌ Error: Dataset file not found: {file_path}")
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sys.exit(1)
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print(f"📂 Processing dataset: {file_path}")
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open_fn = gzip.open if file_path.endswith('.gz') else open
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mode = 'rt' if file_path.endswith('.gz') else 'r'
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total_read = 0
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empty_name = 0
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out_of_bounds = 0
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valid_records = []
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gov_counter = Counter()
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t0 = time.time()
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with open_fn(file_path, mode, encoding='utf-8-sig') as f:
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reader = csv.DictReader(f)
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for row in reader:
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total_read += 1
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name = row.get('name', '').strip()
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if not name:
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empty_name += 1
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continue
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try:
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lat = float(row['latitude'])
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lng = float(row['longitude'])
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except Exception:
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out_of_bounds += 1
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continue
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# Jordan bounding box check (29.15 to 33.45 Lat, 34.85 to 39.35 Lng)
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if not (29.15 <= lat <= 33.45 and 34.85 <= lng <= 39.35):
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out_of_bounds += 1
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continue
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category = row.get('category_queried', '').strip() or 'مكان عام'
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sector = row.get('sector', '').strip()
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gov = row.get('governorate', '').strip() or 'الأردن'
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area = row.get('area', '').strip()
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maps_url = row.get('maps_url', '').strip()
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address = f"{area}, {gov}, الأردن" if area else f"{gov}, الأردن"
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desc = sector if sector else 'نقطة اهتمام في الأردن'
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pop_score = calculate_popularity(row)
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gov_counter[gov] += 1
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valid_records.append({
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'name': name,
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'norm_name': normalize_text(name),
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'lat': lat,
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'lng': lng,
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'category': category,
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'city': gov,
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'neighbourhood': area,
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'address': address,
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'description': desc,
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'popularity_score': pop_score,
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'maps_url': maps_url,
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'sector': sector
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})
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print(f"📊 Initial parse complete in {time.time() - t0:.2f}s:")
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print(f" - Total rows in CSV: {total_read:,}")
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print(f" - Out of Jordan bounds / invalid coords: {out_of_bounds:,}")
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print(f" - Valid in Jordan bounds: {len(valid_records):,}")
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print(f" - Governorate distribution: {dict(gov_counter)}")
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# Deduplication Step 1: Exact (norm_name, round(lat, 5), round(lng, 5)) and maps_url
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seen_exact = {}
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seen_urls = {}
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exact_dups = 0
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for r in valid_records:
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k = (r['norm_name'], round(r['lat'], 5), round(r['lng'], 5))
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url = r['maps_url']
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if k in seen_exact:
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exact_dups += 1
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if r['popularity_score'] > seen_exact[k]['popularity_score']:
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seen_exact[k] = r
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continue
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if url and url in seen_urls:
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exact_dups += 1
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if r['popularity_score'] > seen_urls[url]['popularity_score']:
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seen_urls[url] = r
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continue
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seen_exact[k] = r
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if url:
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seen_urls[url] = r
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dedup_step1 = list(seen_exact.values())
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print(f"🔍 Step 1 Deduplication (Exact coords / URL):")
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print(f" - Removed {exact_dups} duplicate records.")
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print(f" - Remaining: {len(dedup_step1):,}")
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# Deduplication Step 2: Spatial near-duplicates (< 50m with identical normalized name)
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by_norm_name = defaultdict(list)
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for r in dedup_step1:
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by_norm_name[r['norm_name']].append(r)
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final_records = []
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near_dups_filtered = 0
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for norm_name, items in by_norm_name.items():
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if len(items) == 1:
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final_records.append(items[0])
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else:
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items.sort(key=lambda x: x['popularity_score'], reverse=True)
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kept = []
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for candidate in items:
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is_dup = False
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for existing in kept:
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d = haversine(candidate['lat'], candidate['lng'], existing['lat'], existing['lng'])
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if d < 50:
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is_dup = True
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near_dups_filtered += 1
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break
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if not is_dup:
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kept.append(candidate)
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final_records.extend(kept)
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print(f"🎯 Step 2 Deduplication (Spatial near-duplicates < 50m):")
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print(f" - Filtered out {near_dups_filtered} near-duplicates.")
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print(f" - Final unique clean places to migrate: {len(final_records):,}")
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final_govs = Counter([r['city'] for r in final_records])
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print(f" - Final Governorates: {dict(final_govs)}")
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if args.dry_run:
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print("💡 Dry run complete. No database changes made.")
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return
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# Database Migration
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import pg8000.native
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print(f"\n🔌 Connecting to PostgreSQL at {args.db_host}:{args.db_port} ({args.db_name})...")
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con = pg8000.native.Connection(
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user=args.db_user,
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password=args.db_pass,
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host=args.db_host,
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||||
port=args.db_port,
|
||||
database=args.db_name
|
||||
)
|
||||
|
||||
t_db = time.time()
|
||||
source_tag = 'checkpoint_35242_amman_zarqa'
|
||||
|
||||
print(f"🗑️ Removing previous '{source_tag}' imports from places_jordan...")
|
||||
con.run("BEGIN;")
|
||||
con.run(f"DELETE FROM places_jordan WHERE source = '{source_tag}';")
|
||||
|
||||
# Temporarily disable trigger for high-speed bulk ingestion
|
||||
print("⚡ Disabling location trigger for high-speed ingestion...")
|
||||
con.run("ALTER TABLE places_jordan DISABLE TRIGGER trg_sync_place_location_jordan;")
|
||||
|
||||
batch_size = 2000
|
||||
total_inserted = 0
|
||||
print(f"🚀 Inserting {len(final_records):,} places in batches of {batch_size}...")
|
||||
|
||||
for i in range(0, len(final_records), batch_size):
|
||||
batch = final_records[i:i + batch_size]
|
||||
values = []
|
||||
for r in batch:
|
||||
c_name = clean_sql_str(r['name'])
|
||||
c_cat = clean_sql_str(r['category'])
|
||||
c_city = clean_sql_str(r['city'])
|
||||
c_area = clean_sql_str(r['neighbourhood'])
|
||||
c_addr = clean_sql_str(r['address'])
|
||||
c_desc = clean_sql_str(r['description'])
|
||||
lat = r['lat']
|
||||
lng = r['lng']
|
||||
pop = r['popularity_score']
|
||||
|
||||
line = (
|
||||
f"({c_name}, {c_name}, {lat:.7f}, {lng:.7f}, {c_cat}, {c_city}, {c_area}, "
|
||||
f"{c_addr}, {c_desc}, {pop}, '{source_tag}', "
|
||||
f"ST_SetSRID(ST_MakePoint({lng:.7f}, {lat:.7f}), 4326))"
|
||||
)
|
||||
values.append(line)
|
||||
|
||||
sql = (
|
||||
"INSERT INTO places_jordan ("
|
||||
" name, name_ar, latitude, longitude, category, city, neighbourhood,"
|
||||
" address, description, popularity_score, source, location"
|
||||
") VALUES " + ",\n".join(values) + ";"
|
||||
)
|
||||
con.run(sql)
|
||||
total_inserted += len(batch)
|
||||
print(f" -> Inserted {total_inserted:,} / {len(final_records):,} places...")
|
||||
|
||||
# Re-enable trigger
|
||||
print("⚡ Re-enabling location trigger...")
|
||||
con.run("ALTER TABLE places_jordan ENABLE TRIGGER trg_sync_place_location_jordan;")
|
||||
|
||||
# Batch update governorate_id for Amman and Zarqa based on city name
|
||||
print("🏛️ Updating administrative links for new places...")
|
||||
con.run(f"""
|
||||
UPDATE places_jordan
|
||||
SET governorate_id = 137
|
||||
WHERE source = '{source_tag}' AND city = 'عمان';
|
||||
""")
|
||||
con.run(f"""
|
||||
UPDATE places_jordan
|
||||
SET governorate_id = 5
|
||||
WHERE source = '{source_tag}' AND city = 'الزرقاء';
|
||||
""")
|
||||
con.run(f"""
|
||||
UPDATE places_jordan
|
||||
SET governorate_id = 184
|
||||
WHERE source = '{source_tag}' AND city = 'إربد';
|
||||
""")
|
||||
|
||||
con.run("COMMIT;")
|
||||
print(f"✅ Ingestion committed successfully in {time.time() - t_db:.2f}s!")
|
||||
|
||||
# Refresh materialized view
|
||||
print("🔄 Refreshing materialized view unified_search_index concurrently...")
|
||||
t_mv = time.time()
|
||||
con.run("REFRESH MATERIALIZED VIEW CONCURRENTLY unified_search_index;")
|
||||
print(f"✅ unified_search_index refreshed in {time.time() - t_mv:.2f}s!")
|
||||
|
||||
# Analyze table
|
||||
print("⚡ Running ANALYZE on places_jordan...")
|
||||
con.run("ANALYZE places_jordan;")
|
||||
|
||||
# Verification
|
||||
print("\n🔍 Verification & Statistics:")
|
||||
count_res = con.run("SELECT count(*) FROM places_jordan;")[0][0]
|
||||
new_count = con.run(f"SELECT count(*) FROM places_jordan WHERE source = '{source_tag}';")[0][0]
|
||||
gov_stats = con.run(f"""
|
||||
SELECT city, count(*)
|
||||
FROM places_jordan
|
||||
WHERE source = '{source_tag}'
|
||||
GROUP BY city
|
||||
ORDER BY count(*) DESC;
|
||||
""")
|
||||
print(f" - Total places in places_jordan: {count_res:,}")
|
||||
print(f" - Newly added from Amman & Zarqa checkpoint: {new_count:,}")
|
||||
print(" - Governorates breakdown:")
|
||||
for gov, cnt in gov_stats:
|
||||
print(f" * {gov}: {cnt:,} places")
|
||||
|
||||
# Sample Geocoding search test
|
||||
test_queries = ['صيدلية في عمان', 'الجبيهة', 'الزرقاء الجديدة', 'وسط البلد عمان', 'الشميساني']
|
||||
print("\n🧪 Testing search on unified_search_index:")
|
||||
for q in test_queries:
|
||||
results = con.run(f"""
|
||||
SELECT name, category, city, latitude, longitude
|
||||
FROM places_jordan
|
||||
WHERE (name ILIKE '%{q}%' OR neighbourhood ILIKE '%{q}%' OR address ILIKE '%{q}%')
|
||||
AND source = '{source_tag}'
|
||||
LIMIT 2;
|
||||
""")
|
||||
if results:
|
||||
first = results[0]
|
||||
print(f" ✓ Query '{q}': Found '{first[0]}' ({first[1]} - {first[2]}) @ {first[3]}, {first[4]}")
|
||||
else:
|
||||
print(f" - Query '{q}': No direct checkpoint match, checking overall...")
|
||||
|
||||
con.close()
|
||||
print("\n🎉 Jordan dataset migration completed successfully!")
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
Reference in New Issue
Block a user