works.py 28.9 KB
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#!/usr/bin/env python
"""
Import French opendata about works on roads.
"""
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import datetime
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import json
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import logging
import os
import sys

SCRIPT_DIRECTORY = os.path.dirname(os.path.realpath(__file__))
sys.path.append(os.path.abspath(os.path.join(SCRIPT_DIRECTORY, '..', '..')))

import arrow
import pyproj
import requests

from functools import partial

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from shapely.geometry import (LineString, MultiPolygon, MultiLineString,
                              MultiPoint, Point)
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from shapely.geometry import mapping, shape
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from shapely.ops import transform

from server.models import db, Report
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from server.tools import UTC_now
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level = logging.WARN
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RAISE_ON_EXCEPT = False
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if 'DEBUG' in os.environ:
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    level = logging.INFO
if 'RAISE_ON_EXCEPT' in os.environ:
    RAISE_ON_EXCEPT = True
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logging.basicConfig(level=level)

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# Same as in src/constants.js
REPORT_DOWNVOTES_THRESHOLD = 1

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def preprocess_hauts_de_seine(data):
    out = []
    for item in data:
        try:
            fields = item['fields']
            new_item = {
                'fields': fields,
                'geometry': {
                    'type': 'Point',
                    # Use lng, lat
                    'coordinates': fields['geo_point_2d'][::-1]
                },
                'recordid': item['recordid'],
                'source': 'opendata-hauts-de-seine'
            }
            new_fields = new_item['fields']
            # Guess start date / end date
            # If the item is in the data, it should be valid for the current
            # trimester.
            now = datetime.datetime.now()
            new_fields['date_debut'] = arrow.get(
                datetime.datetime(
                    now.year,
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                    max(1, min((now.month // 3) * 3, 12)),
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                    1
                )
            ).isoformat()
            new_fields['date_fin'] = arrow.get(
                datetime.datetime(
                    now.year,
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                    max(1, min((now.month // 3 + 1) * 3, 12)),
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                    1
                )
            ).isoformat()
            out.append(new_item)
        except KeyError as exc:
            logging.warning(
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                'Invalid item %s in Hauts-de-Seine data: %s.',
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                item.get('recordid', '?'),
                exc
            )
            continue
    return out


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def preprocess_lille(data):
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    out = []
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    for item in data:
        try:
            fields = item['fields']
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            new_item = {
                'fields': fields,
                'geometry': {
                    'type': 'Point',
                    # Use lng, lat
                    'coordinates': fields['geo_point_2d'][::-1]
                },
                'recordid': item['recordid'],
                'source': 'opendata-lille'
            }
            new_fields = new_item['fields']
            # Homogeneize geo_shape
            new_fields['geo_shape'] = new_item['geometry']
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            # Homogeneize start date spelling
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            new_fields['date_debut'] = new_fields['date_demarrage']
            out.append(new_item)
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        except KeyError as exc:
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            logging.warning(
                'Invalid item %s in Lille data: %s.',
                item.get('recordid', '?'),
                exc
            )
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            continue
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    return out
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def preprocess_loiret(data):
    out = []
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    if not 'features' in data:
        logging.warning('Invalid data for Loiret.')
        return out

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    for item in data['features']:
        try:
            if 'paths' in item['geometry']:
                paths = item['geometry']['paths']
            else:
                paths = [
                    [
                        [item['geometry']['x'], item['geometry']['y']]
                    ]
                ]
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            # In Loiret, multiple paths are for multiple LineStrings
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            for path in paths:
                if len(path) == 1:
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                    geo_shape = {
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                        'type': 'Point',
                        'coordinates': path[0]
                    }
                else:
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                    geo_shape = {
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                        'type': 'LineString',
                        'coordinates': path
                    }
                new_item = {
                    'fields': item['attributes'],
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                    'geometry': shape(geo_shape).centroid,
                    'recordid': item['attributes']['OBJECTID'],
                    'source': 'opendata-loiret'
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                }
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                new_fields = new_item['fields']
                # Homogeneize geo_shape
                new_fields['geo_shape'] = geo_shape
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                # Homogeneize start and end date spelling
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                new_fields['date_debut'] = arrow.get(
                    float(new_fields['STARTDATE']) / 1000
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                ).isoformat()
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                new_fields['date_fin'] = arrow.get(
                    float(new_fields['ENDDATE']) / 1000
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                ).isoformat()
                out.append(new_item)
        except KeyError as exc:
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            logging.warning(
                'Invalid item %s in Loiret data: %s.',
                item.get('attributes', {}).get('OBJECTID', '?'),
                exc
            )
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            if RAISE_ON_EXCEPT:
                raise
            continue
    return out


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def preprocess_lyon(data):
    out = []
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    if not 'features' in data:
        logging.warning('Invalid data for Lyon.')
        return out

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    for item in data['features']:
        try:
            new_item = {
                'fields': item['properties'],
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                'geometry': shape(item['geometry']).centroid,
                'recordid': item['properties']['identifiant'],
                'source': 'opendata-lyon'
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            }
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            new_fields = new_item['fields']
            # Homogeneize geo_shape
            new_fields['geo_shape'] = item['geometry']
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            # Homogeneize start date and end date spelling
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            new_fields['date_debut'] = new_fields['debutchantier']
            new_fields['date_fin'] = new_fields['finchantier']
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            out.append(new_item)
        except KeyError as exc:
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            logging.warning(
                'Invalid item %s in Lyon data: %s.',
                item.get('properties', {}).get('identifiant', '?'),
                exc
            )
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            if RAISE_ON_EXCEPT:
                raise
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            continue
    return out


def preprocess_montpellier(data):
    out = []
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    if not 'features' in data:
        logging.warning('Invalid data for Montpellier.')
        return out

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    for item in data['features']:
        try:
            new_item = {
                'fields': item['properties'],
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                'geometry': shape(item['geometry']).centroid,
                'recordid': item['properties']['numero'],
                'source': 'opendata-montpellier'
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            }
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            new_fields = new_item['fields']
            # Homogeneize geo_shape
            new_fields['geo_shape'] = item['geometry']
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            # Homogeneize start date and end date spelling
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            new_fields['date_debut'] = new_fields['datedebut']
            new_fields['date_fin'] = new_fields['datefin']
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            out.append(new_item)
        except KeyError as exc:
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            logging.warning(
                'Invalid item %s in Montpellier data: %s.',
                item.get('properties', {}).get('numero', '?'),
                exc
            )
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            if RAISE_ON_EXCEPT:
                raise
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            continue
    return out


def preprocess_nancy(data):
    out = []
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    if not 'features' in data:
        logging.warning('Invalid data for Nancy.')
        return out

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    for item in data['features']:
        try:
            geometry = {
                'type': 'Point',
                'coordinates': [
                    item['geometry']['x'],
                    item['geometry']['y']
                ]
            }
            new_item = {
                'fields': item['attributes'],
                'geometry': geometry,
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                'recordid': item['attributes']['OBJECTID'],
                'source': 'opendata-nancy'
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            }
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            new_fields = new_item['fields']
            # Homogeneize geo_shape
            new_fields['geo_shape'] = geometry
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            # Homogeneize start and end date spelling
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            if not new_fields['DATE_DEBUT'] or not new_fields['DATE_FIN']:
                # Invalid start / end date
                continue
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            new_fields['date_debut'] = arrow.get(
                float(new_fields['DATE_DEBUT']) / 1000
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            ).isoformat()
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            new_fields['date_fin'] = arrow.get(
                float(new_fields['DATE_FIN']) / 1000
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            ).isoformat()
            out.append(new_item)
        except KeyError as exc:
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            logging.warning(
                'Invalid item %s in Nancy data: %s.',
                item.get('attributes', {}).get('OBJECTID', '?'),
                exc
            )
            if RAISE_ON_EXCEPT:
                raise
            continue
    return out


def preprocess_paris(data):
    out = []
    for item in data:
        try:
            new_item = {
                'fields': item['fields'],
                'geometry': item['geometry'],
                'recordid': item['recordid'],
                'source': 'opendata-paris',
            }
            out.append(new_item)
        except KeyError as exc:
            logging.warning(
                'Invalid item %s in Paris data: %s.',
                item.get('recordid', '?'),
                exc
            )
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            if RAISE_ON_EXCEPT:
                raise
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            continue
    return out


def preprocess_rennes(data):
    out = []
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    if not 'features' in data:
        logging.warning('Invalid data for Rennes.')
        return out

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    for item in data['features']:
        try:
            new_item = {
                'fields': item['properties'],
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                'geometry': shape(item['geometry']),
                'recordid': item['properties']['id'],
                'source': 'opendata-rennes'
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            }
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            new_fields = new_item['fields']
            # Homogeneize geo_shape
            new_fields['geo_shape'] = item['geometry']
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            # Homogeneize start date spelling
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            new_fields['date_debut'] = new_fields['date_deb']
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            out.append(new_item)
        except KeyError as exc:
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            logging.warning(
                'Invalid item %s in Rennes data: %s.',
                item.get('properties', {}).get('id', '?'),
                exc
            )
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            if RAISE_ON_EXCEPT:
                raise
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            continue
    return out


def preprocess_seine_saint_denis(data):
    out = []
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    if not 'features' in data:
        logging.warning('Invalid data for Seine-Saint-Denis.')
        return out

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    for item in data['features']:
        try:
            new_item = {
                'fields': item['properties'],
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                'geometry': shape(item['geometry']).centroid,
                'recordid': item['properties']['id'],
                'source': 'opendata-seine_saint_denis'
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            }
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            # Homogeneize geo_shape
            new_item['fields']['geo_shape'] = item['geometry']
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            out.append(new_item)
        except KeyError as exc:
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            logging.warning(
                'Invalid item %s in Seine-Saint-Denis data: %s.',
                item.get('properties', {}).get('id', '?'),
                exc
            )
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            if RAISE_ON_EXCEPT:
                raise
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            continue
    return out


def preprocess_sicoval(data):
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    out = []
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    if 'error' in data:
        logging.warning('Invalid data for Sicoval.')
        return out

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    for item in data:
        try:
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            new_item = {
                'fields': item['fields'],
                'geometry': item['geometry'],
                'recordid': item['recordid'],
                'source': 'opendata-sicoval'
            }
            new_fields = new_item['fields']
            # Homogeneize geo_shape
            new_fields['geo_shape'] = new_fields['geoshape2']
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            # Homogeneize start date and end date spelling
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            new_fields['date_debut'] = new_fields['startdate']
            new_fields['date_fin'] = new_fields['enddate']
            out.append(new_item)
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        except KeyError as exc:
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            logging.warning(
                'Invalid item %s in Sicoval data: %s.',
                item.get('recordid', '?'),
                exc
            )
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            if RAISE_ON_EXCEPT:
                raise
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            continue
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    return out
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def preprocess_toulouse(data):
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    out = []
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    for item in data:
        try:
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            new_item = {
                'fields': item['fields'],
                'geometry': item['geometry'],
                'recordid': item['recordid'],
                'source': 'opendata-toulouse'
            }
            new_fields = new_item['fields']
            # Homogeneize geo_shape
            new_fields['geo_shape'] = item['geometry']
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            # Homogeneize start date and end date spelling
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            new_fields['date_debut'] = new_fields['datedebut']
            new_fields['date_fin'] = new_fields['datefin']
            out.append(new_item)
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        except KeyError as exc:
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            logging.warning(
                'Invalid item %s in Toulouse data: %s.',
                item.get('recordid', '?'),
                exc
            )
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            if RAISE_ON_EXCEPT:
                raise
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            continue
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    return out
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def preprocess_versailles(data):
    out = []
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    if not 'features' in data:
        logging.warning('Invalid data for Versailles.')
        return out

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    for item in data['features']:
        try:
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            if 'paths' in item['geometry']:
                paths = item['geometry']['paths']
            else:
                paths = [
                    [
                        [item['geometry']['x'], item['geometry']['y']]
                    ]
                ]
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            # In Versailles, multiple paths are for multiple LineStrings
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            for path in paths:
                if len(path) == 1:
                    geometry = {
                        'type': 'Point',
                        'coordinates': path[0]
                    }
                else:
                    geometry = {
                        'type': 'LineString',
                        'coordinates': path
                    }
                new_item = {
                    'fields': item['attributes'],
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                    'geometry': shape(geometry).centroid,
                    'recordid': item['attributes']['OBJECTID'],
                    'source': 'opendata-versailles'
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                }
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                new_fields = new_item['fields']
                # Homogeneize geo_shape
                new_fields['geo_shape'] = geometry
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                # Homogeneize start and end date spelling
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                new_fields['date_debut'] = arrow.get(
                    float(new_fields['STARTDATE']) / 1000
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                ).isoformat()
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                new_fields['date_fin'] = arrow.get(
                    float(new_fields['ENDDATE']) / 1000
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                ).isoformat()
                out.append(new_item)
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        except KeyError as exc:
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            logging.warning(
                'Invalid item %s in Versailles data: %s.',
                item.get('attributes', {}).get('OBJECTID', '?'),
                exc
            )
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            if RAISE_ON_EXCEPT:
                raise
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            continue
    return out


MIN_DISTANCE_REPORT_DETAILS = 40  # Distance in meters, same as in constants.js
OPENDATA_URLS = {
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    # Work in Hauts de Seine
    # https://opendata.hauts-de-seine.fr/explore/dataset/travaux-sur-la-voirie-departementale-lignes/information/
    # Licence Ouverte (Etalab) : https://www.etalab.gouv.fr/wp-content/uploads/2014/05/Licence_Ouverte.pdf
    "hauts-de-seine": {
        "preprocess": preprocess_hauts_de_seine,
        "url": "https://opendata.hauts-de-seine.fr/explore/dataset/travaux-sur-la-voirie-departementale-lignes/download/?format=json&timezone=Europe/Berlin",
    },
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    # Work in Lille
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    # https://opendata.lillemetropole.fr/explore/dataset/troncons-de-voirie-impactes-par-des-travaux-en-temps-reel/
    # Licence Ouverte (Etalab) : https://www.etalab.gouv.fr/wp-content/uploads/2014/05/Licence_Ouverte.pdf
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    "lille": {
        "preprocess": preprocess_lille,
        "url": "https://opendata.lillemetropole.fr/explore/dataset/troncons-de-voirie-impactes-par-des-travaux-en-temps-reel/download/?format=json&timezone=Europe/Berlin"
    },
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    # Work in Loiret
    # https://open-loiret.opendata.arcgis.com/datasets/74c95548589d4ddeb3fcf094f7d61a67_1?geometry=0.609%2C47.694%2C3.245%2C48.016&orderBy=BLOCKNM
    # Custom license
    "loiret": {
        "preprocess": preprocess_loiret,
        "url": "https://services2.arcgis.com/IEzPuQhCEVCtkVvT/arcgis/rest/services/Travaux_routiers/FeatureServer/1/query?where=1%3D1&text=&objectIds=&time=&geometry=&geometryType=esriGeometryEnvelope&inSR=&spatialRel=esriSpatialRelIntersects&relationParam=&outFields=*&returnGeometry=true&maxAllowableOffset=&geometryPrecision=&outSR=4326&returnIdsOnly=false&returnCountOnly=false&orderByFields=&groupByFieldsForStatistics=&outStatistics=&returnZ=false&returnM=false&gdbVersion=&returnDistinctValues=false&f=pjson",
    },
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    # Work in Lyon
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    # https://data.grandlyon.com/equipements/chantiers-perturbants-de-la-mftropole-de-lyon/
    # Licence Ouverte : https://download.data.grandlyon.com/files/grandlyon/LicenceOuverte.pdf
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    "lyon": {
        "preprocess": preprocess_lyon,
        "url": "https://download.data.grandlyon.com/wfs/grandlyon?SERVICE=WFS&VERSION=2.0.0&outputformat=GEOJSON&maxfeatures=30&request=GetFeature&typename=pvo_patrimoine_voirie.pvochantierperturbant&SRSNAME=urn:ogc:def:crs:EPSG::4171",
    },
    # Work in Montpellier
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    # http://data.montpellier3m.fr/dataset/chantiers-genants-de-montpellier
    # Licence ODbL : http://opendefinition.org/licenses/odc-odbl/
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    "montpellier": {
        "preprocess": preprocess_montpellier,
        "url": "http://data.montpellier3m.fr/sites/default/files/ressources/MMM_MMM_Chantiers.json"
    },
    # Work in Nancy
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    # http://opendata.grandnancy.eu/jeux-de-donnees/detail-dune-fiche-de-donnees/?tx_icsoddatastore_pi1%5Bkeywords%5D=travaux&tx_icsoddatastore_pi1%5Buid%5D=63&tx_icsoddatastore_pi1%5BreturnID%5D=447
    # Licence libre / Licence Ouverte (Etalab)
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    "nancy": {
        "preprocess": preprocess_nancy,
        "url": "https://geoservices.grand-nancy.org/arcgis/rest/services/public/VOIRIE_Info_Travaux_Niveau/MapServer/0/query?where=1%3D1&text=&objectIds=&time=&geometry=&geometryType=esriGeometryEnvelope&inSR=&spatialRel=esriSpatialRelIntersects&relationParam=&outFields=*&returnGeometry=true&maxAllowableOffset=&geometryPrecision=&outSR=4326&returnIdsOnly=false&returnCountOnly=false&orderByFields=&groupByFieldsForStatistics=&outStatistics=&returnZ=false&returnM=false&gdbVersion=&returnDistinctValues=false&f=pjson"
    },
    # Work in Paris
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    # https://opendata.paris.fr/explore/dataset/chantiers-perturbants/
    # Licence ODbL : http://opendatacommons.org/licenses/odbl/
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    "paris": {
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        "preprocess": preprocess_paris,
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        "url": "https://opendata.paris.fr/explore/dataset/chantiers-perturbants/download/?format=json&timezone=Europe/Berlin",
    },
    # Work in Rennes
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    # http://travaux.data.rennesmetropole.fr/
    # Usage libre / Licence ODbL : http://opendatacommons.org/licenses/odbl/
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    "rennes": {
        "preprocess": preprocess_rennes,
        "url": "http://travaux.data.rennesmetropole.fr/api/roadworks?epsg=4326"
    },
    # Work in Seine-Saint-Denis
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    # https://geo.data.gouv.fr/fr/datasets/12504debb9bb73e717ad710a746541ebf817d98c
    # Licence Ouverte : https://www.etalab.gouv.fr/licence-ouverte-open-licence
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    "seine-saint-denis": {
        "preprocess": preprocess_seine_saint_denis,
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        "url": "https://geoportail93.fr/SERV/DATA/?TYPENAME=1570&FORMAT=GEOJSON&COL=id;titre&FORMAT=GEOJSON&COL=ALL&MODE=2"
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    },
    # Work in Sicoval (South of Toulouse)
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    # https://data.sicoval.fr/explore/dataset/travauxincidents/
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    # Licence Ouverte v2.0 (Etalab) : https://www.etalab.gouv.fr/wp-content/uploads/2017/04/ETALAB-Licence-Ouverte-v2.0.pdf
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    "sicoval": {
        "preprocess": preprocess_sicoval,
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        "url": "https://data.sicoval.fr/explore/dataset/travauxincidents/download/?format=json&timezone=Europe/Berlin"
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    },
    # Work in Toulouse
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    # https://data.toulouse-metropole.fr/explore/dataset/chantiers-en-cours/
    # Licence ODbL : http://opendatacommons.org/licenses/odbl/
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    "toulouse": {
        "preprocess": preprocess_toulouse,
        "url": "https://data.toulouse-metropole.fr/explore/dataset/chantiers-en-cours/download/?format=json&timezone=Europe/Berlin",
    },
    # Work in Versailles
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    # Licence Ouverte (Etalab)
    "versailles-blocks": {  # http://www-cavgp.opendata.arcgis.com/datasets/f58091424f38424ba04a2d3933dc979e_0
        "preprocess": preprocess_versailles,
        "url": "https://services2.arcgis.com/YECJCCLQCtaylXWh/arcgis/rest/services/Waze/FeatureServer/0/query?where=1%3D1&text=&objectIds=&time=&geometry=&geometryType=esriGeometryEnvelope&inSR=&spatialRel=esriSpatialRelIntersects&relationParam=&outFields=*&returnGeometry=true&maxAllowableOffset=&geometryPrecision=&outSR=4326&returnIdsOnly=false&returnCountOnly=false&orderByFields=&groupByFieldsForStatistics=&outStatistics=&returnZ=false&returnM=false&gdbVersion=&returnDistinctValues=false&f=pjson"
    },
    "versailles-closures": {  # http://www-cavgp.opendata.arcgis.com/datasets/f58091424f38424ba04a2d3933dc979e_1
        "preprocess": preprocess_versailles,
        "url": "https://services2.arcgis.com/YECJCCLQCtaylXWh/arcgis/rest/services/Waze/FeatureServer/1/query?where=1%3D1&text=&objectIds=&time=&geometry=&geometryType=esriGeometryEnvelope&inSR=&spatialRel=esriSpatialRelIntersects&relationParam=&outFields=*&returnGeometry=true&maxAllowableOffset=&geometryPrecision=&outSR=4326&returnIdsOnly=false&returnCountOnly=false&orderByFields=&groupByFieldsForStatistics=&outStatistics=&returnZ=false&returnM=false&gdbVersion=&returnDistinctValues=false&f=pjson"
    },
    "versailles-detours": {  # http://www-cavgp.opendata.arcgis.com/datasets/f58091424f38424ba04a2d3933dc979e_2
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        "preprocess": preprocess_versailles,
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        "url": "https://services2.arcgis.com/YECJCCLQCtaylXWh/arcgis/rest/services/Waze/FeatureServer/1/query?where=1%3D1&text=&objectIds=&time=&geometry=&geometryType=esriGeometryEnvelope&inSR=&spatialRel=esriSpatialRelIntersects&relationParam=&outFields=*&returnGeometry=true&maxAllowableOffset=&geometryPrecision=&outSR=4326&returnIdsOnly=false&returnCountOnly=false&orderByFields=&groupByFieldsForStatistics=&outStatistics=&returnZ=false&returnM=false&gdbVersion=&returnDistinctValues=false&f=pjson"
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    },
}
REPORT_TYPE = 'interrupt'

# Projection from WGS84 (GPS) to Lambert93 (for easy buffering of polygons)
project = partial(
    pyproj.transform,
    pyproj.Proj(init='epsg:4326'),  # source coordinates system
    pyproj.Proj(init='epsg:2154')  # destination coordinates system
)


def process_opendata(name, data, report_type=REPORT_TYPE):
    # Coordinates of current reports in db, as shapely Points in Lambert93
    current_reports_points = []
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    active_reports_from_db = Report.select().where(
        # Load reports from db of the current type
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        (Report.type == report_type) &
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        (
            # Either with an expiration_datetime in the future
            (
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                (Report.expiration_datetime is not None) &
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                (Report.expiration_datetime > UTC_now())
            ) |
            # Or without expiration_datetime but which are still active (shown
            # on the map)
            (
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                (Report.expiration_datetime is None) &
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                (Report.downvotes < REPORT_DOWNVOTES_THRESHOLD)
            )
        )
    )
    for report in active_reports_from_db:
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        current_reports_points.append(
            transform(project, Point(report.lng, report.lat))
        )

    for item in data:
        try:
            fields = item['fields']

            # Check that the work is currently being done
            now = arrow.now('Europe/Paris')
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            if fields['date_debut']:
                start_date = arrow.get(fields['date_debut'])
            else:
                # Defaults to now if start date is unknown
                start_date = arrow.get(now)
            if fields['date_fin']:
                end_date = arrow.get(fields['date_fin'])
            else:
                # Defaults to in a week if start date is unknown
                end_date = arrow.get(now).shift(days=+7)
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            if not (start_date < now < end_date):
                logging.info(
                    'Ignoring record %s, work not currently in progress.',
                    item['recordid']
                )
                continue

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            # Report geographical shape
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            if 'geo_shape' in fields:
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                maybe_multi_geo_shape = shape(fields['geo_shape'])
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            else:
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                maybe_multi_geo_shape = shape(item['geometry'])

            geo_shapes = []
            if (
                isinstance(maybe_multi_geo_shape, MultiPolygon)
                or isinstance(maybe_multi_geo_shape, MultiPoint)
            ):
                # Split MultiPolygon into multiple Polygon
                # Same for MultiPoint
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                positions = [
                    p.centroid
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                    for p in maybe_multi_geo_shape
                ]
                geo_shapes = [
                    p
                    for p in maybe_multi_geo_shape
                ]
            elif isinstance(maybe_multi_geo_shape, MultiLineString):
                # Split MultiLineString into multiple LineString
                positions = [
                    p.interpolate(0.5, normalized=True)
                    for p in maybe_multi_geo_shape
                ]
                geo_shapes = [
                    p
                    for p in maybe_multi_geo_shape
                ]
            elif isinstance(maybe_multi_geo_shape, LineString):
                # LineString, interpolate midpoint
                positions = [
                    maybe_multi_geo_shape.interpolate(0.5, normalized=True)
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                ]
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                geo_shapes = [maybe_multi_geo_shape]
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            else:
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                # Polygon or Point
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                positions = [
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                    maybe_multi_geo_shape.centroid
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                ]
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                geo_shapes = [maybe_multi_geo_shape]
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            for (geo_shape, position) in zip(geo_shapes, positions):
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                # Check if this precise position is already in the database
                if transform(project, position) in current_reports_points:
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                    logging.info(
                        ('Ignoring record %s, a similar report is already in '
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                            'the database.'),
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                        item['recordid']
                    )
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                    continue
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                # Check no similar reports is within the area of the report, up
                # to the report distance.
                overlap_area = transform(project, geo_shape).buffer(
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                    MIN_DISTANCE_REPORT_DETAILS
                )
                is_already_inserted = False
                for report_point in current_reports_points:
                    if report_point.within(overlap_area):
                        # A similar report is already there
                        is_already_inserted = True
                        logging.info(
                            ('Ignoring record %s, a similar report is already '
                             'in the database.'),
                            item['recordid']
                        )
                        break
                if is_already_inserted:
                    # Skip this report if a similar one is nearby
                    continue

                # Get the position of the center of the item
                lng, lat = position.x, position.y
                # Compute expiration datetime
                expiration_datetime = end_date.replace(microsecond=0).naive

                # Add the report to the db
                logging.info('Adding record %s to the database.',
                             item['recordid'])
                Report.create(
                    type=report_type,
                    expiration_datetime=expiration_datetime,
                    lat=lat,
                    lng=lng,
                    source=item['source'],
                    shape_geojson=json.dumps(mapping(geo_shape))
                )
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        except KeyError as exc:
            logging.warning(
                'Invalid record %s in %s, missing key: %s',
                item.get('recordid', '?'),
                name,
                exc
            )

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if __name__ == '__main__':
    db.connect()
    for name, item in OPENDATA_URLS.items():
        logging.info('Processing opendata from %s', name)
        try:
            r = requests.get(item['url'])
            data = r.json()
        except (requests.RequestException, ValueError) as exc:
            logging.warning('Error while fetching data for %s: %s.',
                            name, exc)
            continue

        if item['preprocess']:
            data = item['preprocess'](data)

        process_opendata(name, data)