# Path: openaddr/sample.py
# def sample_geojson(stream, max_features):
#     ''' Read a stream of input GeoJSON and return a string with a limited feature count.
#     '''
#     features = list()
# 
#     for feature in stream_geojson(stream):
#         if len(features) == max_features:
#             break
# 
#         features.append(feature)
# 
#     geojson = dict(type='FeatureCollection', features=features)
#     return json.dumps(geojson)
# 
# def stream_geojson(stream):
#     '''
#     '''
#     data = ijson.parse(stream)
# 
#     for (prefix1, event1, value1) in data:
#         if event1 != 'start_map':
#             # A root GeoJSON object is a map.
#             raise ValueError((prefix1, event1, value1))
# 
#         for (prefix2, event2, value2) in data:
#             if event2 == 'map_key' and value2 == 'type':
#                 prefix3, event3, value3 = next(data)
# 
#                 if event3 != 'string' and value3 != 'FeatureCollection':
#                     # We only want GeoJSON feature collections
#                     raise ValueError((prefix3, event3, value3))
# 
#             elif event2 == 'map_key' and value2 == 'features':
#                 prefix4, event4, value4 = next(data)
# 
#                 if event4 != 'start_array':
#                     # We only want lists of features here.
#                     raise ValueError((prefix4, event4, value4))
# 
#                 for (prefix5, event5, value5) in data:
#                     if event5 == 'end_array':
#                         break
# 
#                     # let _build_value() handle the feature.
#                     _data = chain([(prefix5, event5, value5)], data)
#                     feature = _build_value(_data)
#                     yield feature


import logging; _L = logging.getLogger('openaddr.conform')
import os
import errno
import tempfile
import mimetypes
import json
import copy
import csv
import re
from zipfile import ZipFile
from locale import getpreferredencoding
from os.path import splitext
from hashlib import sha1
from uuid import uuid4
from .sample import sample_geojson, stream_geojson
from osgeo import ogr, osr, gdal
            gdal.CE_Failure:'Failure',
            gdal.CE_Fatal:'Fatal'
    }
    err_msg = err_msg.replace('\n',' ')
    err_class = errtype.get(err_class, 'None')
    _L.error("GDAL gave %s %s: %s", err_class, err_num, err_msg)
gdal.PushErrorHandler(gdal_error_handler)


# The canonical output schema for conform
OPENADDR_CSV_SCHEMA = ['LON', 'LAT', 'NUMBER', 'STREET', 'UNIT', 'CITY',
                       'DISTRICT', 'REGION', 'POSTCODE', 'ID', 'HASH']

# Field names for use in cached CSV files.
# We add columns to the extracted CSV with our own data with these names.
GEOM_FIELDNAME = 'OA:geom'
X_FIELDNAME, Y_FIELDNAME = 'OA:x', 'OA:y'
attrib_types = {
    'street':   'OA:street',
    'number':   'OA:number',
    'unit':     'OA:unit',
    'city':     'OA:city',
    'postcode': 'OA:postcode',
    'district': 'OA:district',
    'region':   'OA:region',
    'id':       'OA:id'
}

var_types = attrib_types.copy()


# Path: openaddr/sample.py
# def sample_geojson(stream, max_features):
#     ''' Read a stream of input GeoJSON and return a string with a limited feature count.
#     '''
#     features = list()
# 
#     for feature in stream_geojson(stream):
#         if len(features) == max_features:
#             break
# 
#         features.append(feature)
# 
#     geojson = dict(type='FeatureCollection', features=features)
#     return json.dumps(geojson)
# 
# def stream_geojson(stream):
#     '''
#     '''
#     data = ijson.parse(stream)
# 
#     for (prefix1, event1, value1) in data:
#         if event1 != 'start_map':
#             # A root GeoJSON object is a map.
#             raise ValueError((prefix1, event1, value1))
# 
#         for (prefix2, event2, value2) in data:
#             if event2 == 'map_key' and value2 == 'type':
#                 prefix3, event3, value3 = next(data)
# 
#                 if event3 != 'string' and value3 != 'FeatureCollection':
#                     # We only want GeoJSON feature collections
#                     raise ValueError((prefix3, event3, value3))
# 
#             elif event2 == 'map_key' and value2 == 'features':
#                 prefix4, event4, value4 = next(data)
# 
#                 if event4 != 'start_array':
#                     # We only want lists of features here.
#                     raise ValueError((prefix4, event4, value4))
# 
#                 for (prefix5, event5, value5) in data:
#                     if event5 == 'end_array':
#                         break
# 
#                     # let _build_value() handle the feature.
#                     _data = chain([(prefix5, event5, value5)], data)
#                     feature = _build_value(_data)
#                     yield feature


# Path: openaddr/conform.py
import logging; _L = logging.getLogger('openaddr.conform')
import os
import errno
import tempfile
import mimetypes
import json
import copy
import csv
import re
from zipfile import ZipFile
from locale import getpreferredencoding
from os.path import splitext
from hashlib import sha1
from uuid import uuid4
from .sample import sample_geojson, stream_geojson
from osgeo import ogr, osr, gdal

            gdal.CE_Failure:'Failure',
            gdal.CE_Fatal:'Fatal'
    }
    err_msg = err_msg.replace('\n',' ')
    err_class = errtype.get(err_class, 'None')
    _L.error("GDAL gave %s %s: %s", err_class, err_num, err_msg)
gdal.PushErrorHandler(gdal_error_handler)


# The canonical output schema for conform
OPENADDR_CSV_SCHEMA = ['LON', 'LAT', 'NUMBER', 'STREET', 'UNIT', 'CITY',
                       'DISTRICT', 'REGION', 'POSTCODE', 'ID', 'HASH']

# Field names for use in cached CSV files.
# We add columns to the extracted CSV with our own data with these names.
GEOM_FIELDNAME = 'OA:geom'
X_FIELDNAME, Y_FIELDNAME = 'OA:x', 'OA:y'
attrib_types = {
    'street':   'OA:street',
    'number':   'OA:number',
    'unit':     'OA:unit',
    'city':     'OA:city',
    'postcode': 'OA:postcode',
    'district': 'OA:district',
    'region':   'OA:region',
    'id':       'OA:id'
}

var_types = attrib_types.copy()


UNZIPPED_DIRNAME = 'unzipped'