Exemplo n.º 1
0
def markers(db):
    params = Params()

    if (not params.users) and (not params.source) and (params.zoom < 7):
        return

    params.limit = 200
    params.full = False

    return _errors_geo(db, params)
Exemplo n.º 2
0
def _user(db, lang, username):
    params = Params()
    if username:
        params.users = username.split(",")
    params.limit = 500
    params.full = True
    username = "******".join(params.users)

    errors = query._gets(db, params)
    return [params, username, errors]
Exemplo n.º 3
0
def _user_count(db, username=None):
    params = Params()
    if username:
        params.users = username.split(",")

    if not params.users:
        return

    res = query._count(db, params, ['class.level'], ['class.level'])
    ret = {1: 0, 2: 0, 3: 0}
    for (l, c) in res:
        ret[l] = c

    return ret
Exemplo n.º 4
0
def errors(db, langs):
    params = Params(max_limit=10000)
    results = query._gets(db, params)

    out = []
    for res in results:
        i = {
            'lat': float(res["lat"]),
            'lon': float(res["lon"]),
            'id': res["uuid"],
            'item': str(res["item"]),
        }
        if params.full:
            i.update({
                'lat': float(res["lat"]),
                'lon': float(res["lon"]),
                'id': res["uuid"],
                'item': str(res["item"]),
                'source': res["source"],
                'class': res["class"],
                'subtitle': utils.i10n_select(res["subtitle"], langs),
                'title': utils.i10n_select(res["title"], langs),
                'level': res["level"],
                'update': str(res["timestamp"]),
                'usernames': list(map(lambda elem: "username" in elem and elem["username"] or "", res['elems'] or [])),
                'osm_ids': dict(map(lambda k_g: [
                    {'N':'nodes', 'W':'ways', 'R':'relations'}[k_g[0]],
                    list(map(lambda g: g['id'], k_g[1]))
                ], groupby(sorted(res['elems'] or [], key=lambda e: e['type']), lambda e: e['type']))),
            })
        out.append(i)

    return {'issues': out}
Exemplo n.º 5
0
def get_data(db, options):
    sqlbase = """
SELECT
    date,
    SUM(count)
FROM (
    SELECT
        date_trunc('day', timestamp) AS date,
        AVG(count) AS count
    FROM (
        SELECT
            marker.source,
            marker.class,
            marker.count,
            generate_series(
                lower(timestamp_range),
                coalesce(upper(timestamp_range) - '23 hour'::interval, now()),
                '1 day'::interval
            )::timestamp without time zone AS timestamp
        FROM
            %s
        WHERE
            %s
        ) AS t
    WHERE
        %s
    GROUP BY
        source,
        class,
        date_trunc('day', timestamp)
    ) AS t
GROUP BY
    date
ORDER BY
    date
"""

    params = Params()
    join, where = query._build_param(db, None, params.source, params.item, params.level, None, params.classs, params.country, params.useDevItem, None, params.tags, None, stats=True, start_date=params.start_date, end_date=params.end_date)
    where2 = ["1 = 1"]
    if params.start_date:
        where2.append("timestamp >= '%s'" % params.start_date.isoformat())
    if params.end_date:
        where2.append("timestamp < '%s'" % params.end_date.isoformat())
    where2 = " AND ".join(where2)
    sql = sqlbase % (join, where, where2)

    if len(sys.argv)>1:
      print(sql)

    result = []
    db.execute(sql)
    for r in db.fetchall():
        result.append((r[0],r[1]))
    return result
Exemplo n.º 6
0
def graph(db, format='png'):
    try:
        data = errors_graph.make_plt(db, Params(), format)
        response.content_type = {
            'png': 'image/png',
            'svg': 'image/svg+xml',
            'pdf': 'application/pdf',
            'csv': 'text/csv',
            'json': 'application/json'
        }[format]
        return data
    except Exception as e:
        response.content_type = "text/plain"
        import traceback
        out = io.StringIO()
        traceback.print_exc(file=out)
        return out.getvalue() + "\n"
Exemplo n.º 7
0
def issues_mvt(db, z, x, y, format):
    lon1, lat2 = tiles.tile2lonlat(x, y, z)
    lon2, lat1 = tiles.tile2lonlat(x + 1, y + 1, z)
    dlon = (lon2 - lon1) / 256
    dlat = (lat2 - lat1) / 256

    params = Params(max_limit=50 if z > 18 else 10000)
    params.tilex = x
    params.tiley = y
    params.zoom = z
    params.lat = None
    params.lon = None
    params.full = False

    if params.zoom > 18:
        return
    if (not params.users) and (not params.source) and (params.zoom < 7):
        return

    results = query._gets(db, params) if z >= 7 else None

    if format == 'mvt':
        tile = _errors_mvt(db, results, z, lon1, lat1, lon2, lat2,
                           params.limit)
        if tile:
            response.content_type = 'application/vnd.mapbox-vector-tile'
            return tile
        else:
            return HTTPError(404)
    elif format in ('geojson', 'json'):  # Fall back to GeoJSON
        tile = _errors_geojson(db, results, z, lon1, lat1, lon2, lat2,
                               params.limit)
        if tile:
            response.content_type = 'application/vnd.geo+json'
            return tile
        else:
            return []
    else:
        return HTTPError(404)
Exemplo n.º 8
0
def matrix(db, lang):
    params = Params(default_limit=None)
    errors_groups = query._count(db, params, [
        "markers.item", "markers.class", "sources.country", "items.menu->'en'"
    ])
    analysers = defaultdict(lambda: defaultdict(int))
    analysers_sum = defaultdict(int)
    countries_sum = defaultdict(int)
    total = 0
    for row in errors_groups:
        item, class_, country, menu, count = row
        analyser = '{}/{} {}'.format(item, class_, menu)
        analysers[analyser][country] += count
        analysers_sum[analyser] += count
        countries_sum[country] += count
        total += count

    return dict(total=total,
                countries_sum=countries_sum,
                analysers_sum=analysers_sum,
                analysers=analysers)
Exemplo n.º 9
0
def errors(db, lang):
    params = Params()
    results = query._gets(db, params)
    out = OrderedDict()

    if not params.full:
        out["description"] = ["lat", "lon", "error_id", "item"]
    else:
        out["description"] = ["lat", "lon", "error_id", "item", "source", "class", "elems", "subclass", "subtitle", "title", "level", "update", "username"]
    out["errors"] = []

    for res in results:
        lat       = res["lat"]
        lon       = res["lon"]
        error_id  = res["id"]
        item      = res["item"] or 0

        if not params.full:
            out["errors"].append([str(lat), str(lon), str(error_id), str(item)])
        else:
            source    = res["source"]
            classs    = res["class"]
            elems     = '_'.join(map(lambda elem: {'N':'node', 'W':'way', 'R':'relation'}[elem['type']] + str(elem['id']), res['elems'] or []))
            subclass  = 0

            subtitle  = utils.i10n_select(res['subtitle'], lang)
            subtitle  = subtitle and subtitle['auto'] or ''

            title     = utils.i10n_select(res['title'], lang)
            title     = title and title['auto'] or ''

            level     = res["level"]
            update    = res["timestamp"]
            username  = '******'.join(map(lambda elem: "username" in elem and elem["username"] or "", res['elems'] or []))
            out["errors"].append([str(lat), str(lon), str(error_id), str(item), str(source), str(classs), str(elems), str(subclass), subtitle, title, str(level), str(update), username])

    return out
Exemplo n.º 10
0
def index(db, lang, format=None):
    if "false-positive" in request.path:
        title = _("False positives")
        gen = "false-positive"
    elif "done" in request.path:
        title = _("Fixed issues")
        gen = "done"
    else:
        title = _("Informations")
        gen = "error"

    if not format in ('rss', 'gpx', 'kml', 'josm', 'csv'):
        format = None

    countries = query_meta._countries(db, lang) if format == None else None
    items = query_meta._items(db, lang)

    params = Params()
    params.status = {
        "error": "open",
        "false-positive": "false",
        "done": "done"
    }[gen]
    params.limit = None
    params.fixable = None

    if format == None and params.item:
        errors_groups = query._count(
            db,
            params,
            [
                "dynpoi_class.item", "marker.source", "marker.class",
                "source.country", "source.analyser",
                "dynpoi_update_last.timestamp"
            ],
            ["dynpoi_item", "class"],
            [
                "min(dynpoi_item.menu::text)::jsonb AS menu",
                "min(class.title::text)::jsonb AS title"
            ],
        )

        total = 0
        for res in errors_groups:
            if res["count"] != -1:
                total += res["count"]
    else:
        errors_groups = []
        total = 0

    params.limit = request.params.get('limit', type=int, default=100)
    if params.limit > 10000:
        params.limit = 10000

    if (total > 0 and total < 1000) or params.limit:
        params.full = True
        errors = query._gets(db, params)
        if gen in ("false-positive", "done"):
            opt_date = "date"
        else:
            opt_date = "-1"
    else:
        opt_date = None
        errors = None

    if format == 'rss':
        response.content_type = 'application/rss+xml'
        tpl = 'errors/list.rss'
    elif format == 'gpx':
        response.content_type = 'application/gpx+xml'
        tpl = 'errors/list.gpx'
    elif format == 'kml':
        response.content_type = 'application/vnd.google-earth.kml+xml'
        tpl = 'errors/list.kml'
    elif format == 'josm':
        objects = set(
            sum(
                map(
                    lambda error: list(
                        map(
                            lambda elem: elem['type'].lower() + str(elem[
                                'id']), error['elems'] or [])), errors), []))
        response.status = 302
        response.set_header(
            'Location',
            'http://localhost:8111/load_object?objects=%s' % ','.join(objects))
        return
    elif format == 'csv':
        output = io.StringIO()
        writer = csv.writer(output)
        h = [
            'uuid', 'source', 'item', 'class', 'level', 'title', 'subtitle',
            'country', 'analyser', 'timestamp', 'username', 'lat', 'lon',
            'elems'
        ]
        writer.writerow(h)
        for res in errors:
            usernames = list(
                map(lambda elem: elem.get("username", ""), res['elems'] or []))
            elems = '_'.join(
                map(
                    lambda elem: {
                        'N': 'node',
                        'W': 'way',
                        'R': 'relation'
                    }[elem['type']] + str(elem['id']), res['elems'] or []))
            writer.writerow(
                list(
                    map(
                        lambda a: usernames if a == 'username' else elems
                        if a == 'elems' else res[a], h)))
        response.content_type = 'text/csv'
        return output.getvalue()
    else:
        tpl = 'errors/index'

    return template(tpl,
                    countries=countries,
                    items=items,
                    errors_groups=errors_groups,
                    total=total,
                    errors=errors,
                    query=request.query_string,
                    country=params.country,
                    item=params.item,
                    level=params.level,
                    lang=lang[0],
                    translate=translator(lang),
                    gen=gen,
                    opt_date=opt_date,
                    title=title,
                    website=utils.website,
                    main_website=utils.main_website,
                    remote_url_read=utils.remote_url_read)
Exemplo n.º 11
0
def heat(db, z, x, y):
    COUNT = 32

    lon1, lat2 = tiles.tile2lonlat(x, y, z)
    lon2, lat1 = tiles.tile2lonlat(x + 1, y + 1, z)

    params = Params()
    items = query._build_where_item(params.item, "items")
    params.tilex = x
    params.tiley = y
    params.zoom = z
    params.lat = None
    params.lon = None

    if params.zoom > 18:
        return

    db.execute("""
SELECT
    SUM((SELECT SUM(t) FROM UNNEST(number) t))
FROM
    items
WHERE
""" + items)
    limit = db.fetchone()
    if limit and limit[0]:
        limit = float(limit[0])
    else:
        return HTTPError(404)

    join, where = query._build_param(db,
                                     None,
                                     params.source,
                                     params.item,
                                     params.level,
                                     params.users,
                                     params.classs,
                                     params.country,
                                     params.useDevItem,
                                     params.status,
                                     params.tags,
                                     params.fixable,
                                     tilex=params.tilex,
                                     tiley=params.tiley,
                                     zoom=params.zoom)
    join = join.replace("%", "%%")
    where = where.replace("%", "%%")

    sql = """
SELECT
    COUNT(*),
    ((lon-%(lon1)s) * %(count)s / (%(lon2)s-%(lon1)s) + 0.5)::int AS latn,
    ((lat-%(lat1)s) * %(count)s / (%(lat2)s-%(lat1)s) + 0.5)::int AS lonn,
    mode() WITHIN GROUP (ORDER BY items.marker_color) AS color
FROM
""" + join + """
WHERE
""" + where + """
GROUP BY
    latn,
    lonn
"""
    db.execute(sql, {
        "lon1": lon1,
        "lat1": lat1,
        "lon2": lon2,
        "lat2": lat2,
        "count": COUNT
    })

    features = []
    for row in db.fetchall():
        count, x, y, color = row
        count = max(
            int(
                math.log(count) /
                math.log(limit / ((z - 4 + 1 + math.sqrt(COUNT))**2)) * 255),
            1 if count > 0 else 0)
        if count > 0:
            count = 255 if count > 255 else count
            features.append({
                "geometry":
                Polygon([(x, y), (x - 1, y), (x - 1, y - 1), (x, y - 1)]),
                "properties": {
                    "color": int(color[1:], 16),
                    "count": count
                }
            })

    response.content_type = 'application/vnd.mapbox-vector-tile'
    return mapbox_vector_tile.encode([{
        "name": "issues",
        "features": features
    }],
                                     extents=COUNT)
Exemplo n.º 12
0
def index(db, lang, format):
    if "false-positive" in request.path:
        title = _("False positives")
        gen = "false-positive"
    elif "done" in request.path:
        title = _("Fixed issues")
        gen = "done"
    else:
        title = _("Information")
        gen = "error"

    params = Params()
    params.status = {
        "error": "open",
        "false-positive": "false",
        "done": "done"
    }[gen]
    params.fixable = None

    items = query_meta._items_menu(db, lang)
    for res in items:
        if params.item == str(res["item"]):
            title += ' - ' + res['menu']['auto']

    params.limit = request.params.get('limit', type=int, default=100)
    if params.limit > 10000:
        params.limit = 10000

    params.full = True
    errors = query._gets(db, params)
    for error in errors:
        error["subtitle"] = i10n_select_auto(error["subtitle"], lang)
        error["title"] = i10n_select_auto(error["title"], lang)
        error["menu"] = i10n_select_auto(error["menu"], lang)

    if format == 'rss':
        response.content_type = 'application/rss+xml'
        tpl = 'errors/list.rss'
    elif format == 'gpx':
        response.content_type = 'application/gpx+xml'
        tpl = 'errors/list.gpx'
    elif format == 'kml':
        response.content_type = 'application/vnd.google-earth.kml+xml'
        tpl = 'errors/list.kml'
    elif format == 'josm':
        objects = set(
            sum(
                map(
                    lambda error: list(
                        map(
                            lambda elem: elem['type'].lower() + str(elem[
                                'id']), error['elems'] or [])), errors), []))
        response.status = 302
        response.set_header(
            'Location',
            'http://localhost:8111/load_object?objects=%s' % ','.join(objects))
        return
    elif format == 'csv':
        output = io.StringIO()
        writer = csv.writer(output)
        h = [
            'uuid', 'source', 'item', 'class', 'level', 'title', 'subtitle',
            'country', 'analyser', 'timestamp', 'username', 'lat', 'lon',
            'elems'
        ]
        hh = {'source': 'source_id'}
        writer.writerow(h)
        for res in errors:
            usernames = list(
                map(lambda elem: elem.get("username", ""), res['elems'] or []))
            elems = '_'.join(
                map(
                    lambda elem: {
                        'N': 'node',
                        'W': 'way',
                        'R': 'relation'
                    }[elem['type']] + str(elem['id']), res['elems'] or []))
            writer.writerow(
                list(
                    map(
                        lambda a: usernames if a == 'username' else elems
                        if a == 'elems' else res[a],
                        map(lambda y: hh.get(y, y), h))))
        response.content_type = 'text/csv'
        return output.getvalue()
    else:
        countries = query_meta._countries(db)
        items = list(map(dict, items))

        if params.item:
            params.limit = None
            errors_groups = query._count(
                db,
                params,
                [
                    "markers_counts.item", "markers.source_id",
                    "markers.class", "sources.country", "sources.analyser",
                    "updates_last.timestamp"
                ],
                ["items", "class"],
                [
                    "min(items.menu::text)::jsonb AS menu",
                    "min(class.title::text)::jsonb AS title"
                ],
            )

            total = 0
            for res in errors_groups:
                res["title"] = i10n_select_auto(res["title"], lang)
                res["menu"] = i10n_select_auto(res["menu"], lang)
                if res["count"] != -1:
                    total += res["count"]
        else:
            errors_groups = []
            total = 0

        if gen in ("false-positive", "done"):
            opt_date = "date"
        else:
            opt_date = None

        errors_groups = list(map(dict, errors_groups))
        for res in errors_groups:
            res['timestamp'] = str(res['timestamp'])
        errors = list(map(dict, errors))
        for res in errors:
            res['timestamp'] = str(res['timestamp'])
            if 'date' in res:
                res['date'] = str(res['date'])
        return dict(countries=countries,
                    items=items,
                    errors_groups=errors_groups,
                    total=total,
                    errors=errors,
                    gen=gen,
                    opt_date=opt_date,
                    website=utils.website,
                    main_website=utils.main_website,
                    remote_url_read=utils.remote_url_read)

    return template(tpl,
                    items=items,
                    errors=errors,
                    query=request.query_string,
                    lang=lang[0],
                    gen=gen,
                    title=title,
                    website=utils.website,
                    main_website=utils.main_website,
                    remote_url_read=utils.remote_url_read)