Python dateutil.parser方法代碼示例

# 需要導入模塊: import dateutil [as 別名]
# 或者: from dateutil import parser [as 別名]
def testImportedModules(self):
        import dateutil.easter
        import dateutil.parser
        import dateutil.relativedelta
        import dateutil.rrule
        import dateutil.tz
        import dateutil.utils
        import dateutil.zoneinfo

        self.assertEquals(dateutil.easter, new_locals.pop("easter"))
        self.assertEquals(dateutil.parser, new_locals.pop("parser"))
        self.assertEquals(dateutil.relativedelta, new_locals.pop("relativedelta"))
        self.assertEquals(dateutil.rrule, new_locals.pop("rrule"))
        self.assertEquals(dateutil.tz, new_locals.pop("tz"))
        self.assertEquals(dateutil.utils, new_locals.pop("utils"))
        self.assertEquals(dateutil.zoneinfo, new_locals.pop("zoneinfo"))

        self.assertFalse(new_locals) 

# 需要導入模塊: import dateutil [as 別名]
# 或者: from dateutil import parser [as 別名]
def perform_romeo_query(self, search_terms):
        search_terms = search_terms.copy()
        if self.api_key:
            search_terms['ak'] = self.api_key

        # Perform the query
        try:
            req = requests.get(self.base_url, params=search_terms, timeout=20)
        except requests.exceptions.RequestException as e:
            raise MetadataSourceException('Error while querying RoMEO.\n' +
                                          'URL was: '+self.base_url+'\n' +
                                          'Parameters were: '+str(search_terms)+'\n' +
                                          'Error is: '+str(e))

        # Parse it
        try:
            parser = ET.XMLParser(encoding='ISO-8859-1')
            root = ET.parse(BytesIO(req.content), parser)
        except ET.ParseError as e:
            raise MetadataSourceException('RoMEO returned an invalid XML response.\n' +
                                          'URL was: '+self.base_url+'\n' +
                                          'Parameters were: '+str(search_terms)+'\n' +
                                          'Error is: '+str(e))

        return root 

# 需要導入模塊: import dateutil [as 別名]
# 或者: from dateutil import parser [as 別名]
def test_fetch_updates(self):
        with requests_mock.mock() as http_mocker:
            http_mocker.get('http://www.sherpa.ac.uk/downloads/journal-title-issns.php?format=tsv',
                content=self.journals_dump_response)
            http_mocker.get('http://www.sherpa.ac.uk/downloads/download-dates.php?format=xml',
                content=self.latest_update_response)

            # Fetch all publishers initially
            self.api.fetch_updates()
            p = Publisher.objects.get(alias='GSA Today')
            self.assertEqual(p.last_updated, dateutil.parser.parse('2019-02-14T14:05:19Z'))
            p = Publisher.objects.get(romeo_id='2425')
            self.assertEqual(p.url, 'http://intranet.cvut.cz/')

            # Fetch updates again
            self.api.fetch_updates()

            # A publisher was updated
            p = Publisher.objects.get(romeo_id='2425')
            self.assertEqual(p.url, 'https://intranet.cvut.cz/') 

# 需要導入模塊: import dateutil [as 別名]
# 或者: from dateutil import parser [as 別名]
def _process_remove_objects_batch(self, bucket_name, objects_batch):
        """
        Requester and response parser for remove_objects
        """
        # assemble request content for objects_batch
        content = xml_marshal_delete_objects(objects_batch)

        # compute headers
        headers = {
            'Content-Md5': get_md5_base64digest(content),
            'Content-Length': len(content)
        }
        query = {'delete': ''}
        content_sha256_hex = get_sha256_hexdigest(content)

        # send multi-object delete request
        response = self._url_open(
            'POST', bucket_name=bucket_name,
            headers=headers, body=content,
            query=query, content_sha256=content_sha256_hex,
        )

        # parse response to find delete errors
        return parse_multi_delete_response(response.data) 

# 需要導入模塊: import dateutil [as 別名]
# 或者: from dateutil import parser [as 別名]
def parse_datetime_string(datetime_str):
    """
    :param datetime_str: A string representing date and time with timezone
                         information.
    :return: A datetime object, converted to UTC, with no timezone info.
    """
    # Parse the string to datetime object
    date_with_offset = dateutil.parser.parse(datetime_str)

    # Convert the date to UTC
    try:
        utc_date = date_with_offset.astimezone(pytz.utc)
    except ValueError:
        raise manager_exceptions.BadParametersError(
            'Date `{0}` missing timezone information, please provide'
            ' valid date. \nExpected format: YYYYMMDDHHMM+HHMM or'
            ' YYYYMMDDHHMM-HHMM i.e: 201801012230-0500'
            ' (Jan-01-18 10:30pm EST)'.format(datetime_str))

    # Date is in UTC, tzinfo is not necessary
    return utc_date.replace(tzinfo=None) 

# 需要導入模塊: import dateutil [as 別名]
# 或者: from dateutil import parser [as 別名]
def get_parsed_deployment(blueprint,
                          app_dir,
                          app_blueprint):
    file_server_root = config.instance.file_server_root
    blueprint_resource_dir = os.path.join(file_server_root,
                                          'blueprints',
                                          blueprint.tenant_name,
                                          blueprint.id)
    # The dsl parser expects a URL
    blueprint_resource_dir_url = 'file:{0}'.format(blueprint_resource_dir)
    app_path = os.path.join(file_server_root, app_dir, app_blueprint)

    try:
        return tasks.parse_dsl(
            app_path,
            resources_base_path=file_server_root,
            additional_resources=[blueprint_resource_dir_url],
            **app_context.get_parser_context()
        )
    except parser_exceptions.DSLParsingException as ex:
        raise manager_exceptions.InvalidBlueprintError(
            'Invalid blueprint - {0}'.format(ex)) 

# 需要導入模塊: import dateutil [as 別名]
# 或者: from dateutil import parser [as 別名]
def fetch_production(zone_key, session=None, target_datetime=None):    
    if zone_key != "MX":
        raise ValueError("MX parser cannot fetch production for zone {}".format(zone_key))
    
    if target_datetime is None:
        raise ValueError("Parser only supports fetching historical production data, please specify a terget_datetime in the past")
    
    # retrieve data for the month either from the cache or fetch it
    cache_key = target_datetime.strftime("%Y-%m")
    if cache_key in DATA_CACHE:
        df = DATA_CACHE[cache_key]
    else:
        df = fetch_csv_for_date(target_datetime, session=session)
        DATA_CACHE[cache_key] = df
    
    data = []
    for idx, series in df.iterrows():
        data.append({
            'zoneKey': zone_key,
            'datetime': series["instante"].to_pydatetime(),
            'production': convert_production(series),
            'source': 'cenace.gob.mx'
        })
    return data 

# 需要導入模塊: import dateutil [as 別名]
# 或者: from dateutil import parser [as 別名]
def fetch_MX_exchange(sorted_zone_keys, s):
    """
    Finds current flow between two Mexican control areas.
    Returns a float.
    """

    req = s.get(MX_EXCHANGE_URL)
    soup = BeautifulSoup(req.text, 'html.parser')
    exchange_div = soup.find("div", attrs={'id': EXCHANGES[sorted_zone_keys]})
    val = exchange_div.text

    # cenace html uses unicode hyphens instead of minus signs and , as thousand separator
    trantab = str.maketrans({chr(8208): chr(45), ",": ""})

    val = val.translate(trantab)
    flow = float(val)

    if sorted_zone_keys in ["BZ->MX-PN", "MX-CE->MX-OR", "MX-CE->MX-OC"]:
        # reversal needed for these zones due to EM ordering
        flow = -1*flow

    return flow 

# 需要導入模塊: import dateutil [as 別名]
# 或者: from dateutil import parser [as 別名]
def __json_date_parse(json_object):
        """
        Parse dates in certain known json fields, if possible.
        """
        known_date_fields = ["created_at", "week", "day", "expires_at", "scheduled_at", "updated_at", "last_status_at", "starts_at", "ends_at", "published_at"]
        for k, v in json_object.items():
            if k in known_date_fields:
                if v != None:
                    try:
                        if isinstance(v, int):
                            json_object[k] = datetime.datetime.fromtimestamp(v, pytz.utc)
                        else:
                            json_object[k] = dateutil.parser.parse(v)
                    except:
                        raise MastodonAPIError('Encountered invalid date.')
        return json_object 

# 需要導入模塊: import dateutil [as 別名]
# 或者: from dateutil import parser [as 別名]
def _normalize_gaf_date(date, report, taxon, line):
    if date is None or date == "":
        report.warning(line, Report.INVALID_DATE, date, "GORULE:0000001: empty",
            taxon=taxon, rule=1)
        return date

    # We check int(date)
    if len(date) == 8 and date.isdigit():
        d = datetime.datetime(int(date[0:4]), int(date[4:6]), int(date[6:8]), 0, 0, 0, 0)
    else:
        report.warning(line, Report.INVALID_DATE, date, "GORULE:0000001: Date field must be YYYYMMDD, got: {}".format(date),
            taxon=taxon, rule=1)
        try:
            d = dateutil.parser.parse(date)
        except:
            report.error(line, Report.INVALID_DATE, date, "GORULE:0000001: Could not parse date '{}' at all".format(date),
                taxon=taxon, rule=1)
            return None

    return d.strftime("%Y%m%d")

## we generate both qualifier and relation field
## Returns: (negated, relation, other_qualifiers) 

# 需要導入模塊: import dateutil [as 別名]
# 或者: from dateutil import parser [as 別名]
def load_datetime_tz(time_str):
    """
    Load datetime and ensure the result is timezone-aware.

    If the parsed timestamp is naive, transform it into a timezone-aware one
    using the local timezone.

    :param str time_str: string representing a timestamp
    :return datetime: the parsed timezone-aware datetime
    """
    # dateutil parser returns naive or tz-aware string depending on the format
    # of the input string
    timestamp = dateutil.parser.parse(time_str)
    # if the parsed timestamp is naive, forces it to local timezone
    if timestamp.tzinfo is None:
        timestamp = timestamp.replace(tzinfo=dateutil.tz.tzlocal())
    return timestamp 

# 需要導入模塊: import dateutil [as 別名]
# 或者: from dateutil import parser [as 別名]
def _defs(self, name, value):
        if name in ['cvss_vector', 'cvss_temporal_vector']:
            # Return a list of the Vectors instead of having everything in a
            # flat string.  This should allow for much easier parsing later.
            return value.split('/')

        elif name in ['cvss_base_score', 'cvss_temporal_score']:
            # CVSS scores are floats, so lets return them as such.
            return float(value)

        elif name in ['first_found', 'last_found', 'plugin_modification_date',
                      'plugin_publication_date', 'HOST_END', 'HOST_START']:
            # The first and last found attributes use a datetime timestamp
            # format that we should convert into a unix timestamp.
            return dateutil.parser.parse(value)

        elif name in ['port', 'pluginID', 'severity']:
            return int(value)

        else:
            return value 

# 需要導入模塊: import dateutil [as 別名]
# 或者: from dateutil import parser [as 別名]
def get_s2_granule_id_of_scihub_item_from_sentinelhub(img):
    """
    Build the granule id of a given single tile SAFE.

    The hard part is to get the timestamp in the granule id. Unfortunately this
    timestamp is not part of the metadata returned by scihub. This function queries
    sentinelhub to retrieve it. It takes about 3 seconds.

    Args:
        img (Sentinel2Image instance): Sentinel-2 image metadata

    Return:
        str: granule id, e.g. L1C_T36RTV_A005095_20180226T084545
    """
    import sentinelhub
    t0 = (img.date - datetime.timedelta(hours=2)).isoformat()
    t1 = (img.date + datetime.timedelta(hours=2)).isoformat()
    r = sentinelhub.opensearch.get_tile_info('T{}'.format(img.mgrs_id), time=(t0, t1))
    assert(isinstance(r, dict))

    granule_date = dateutil.parser.parse(r['properties']['startDate']).strftime("%Y%m%dT%H%M%S")
    return "L1C_T{}_A{:06d}_{}".format(img.mgrs_id, img.relative_orbit, granule_date) 

# 需要導入模塊: import dateutil [as 別名]
# 或者: from dateutil import parser [as 別名]
def devseed_parser(self, img):
        """
        Args:
            img (dict): json metadata dict as shipped in devseed API response
        """
        p = img['properties']
        self.title = p['sentinel:product_id']
        self.utm_zone = int(p['sentinel:utm_zone'])
        self.lat_band = p['sentinel:latitude_band']
        self.sqid  = p['sentinel:grid_square']
        self.mgrs_id = '{}{}{}'.format(self.utm_zone, self.lat_band, self.sqid)

        self.date = dateutil.parser.parse(self.title.split('_')[2])
        #self.granule_date = dateutil.parser.parse(p['datetime'])
        self.satellite = p['eo:platform'].replace("sentinel-", "S").upper()  # sentinel-2b --> S2B
        self.relative_orbit = parse_safe_name_for_relative_orbit_number(self.title)

        self.thumbnail = img['assets']['thumbnail']['href'].replace('sentinel-s2-l1c.s3.amazonaws.com',
                                                                    'roda.sentinel-hub.com/sentinel-s2-l1c')
        self.cloud_cover = p['eo:cloud_cover']
        #self.id = img['id'] 

# 需要導入模塊: import dateutil [as 別名]
# 或者: from dateutil import parser [as 別名]
def scihub_parser(self, img):
        """
        Args:
            img (dict): json metadata dict for a single SAFE, as shipped in scihub
                opensearch API response
        """
        self.title = img['title']
        try:
            self.mgrs_id = img['tileid']
        except KeyError:
            self.mgrs_id = re.findall(r"_T([0-9]{2}[A-Z]{3})_", img['title'])[0]
        self.utm_zone, self.lat_band, self.sqid = split_mgrs_id(self.mgrs_id)
        self.date = dateutil.parser.parse(img['beginposition'], ignoretz=True)
        self.satellite = self.title[:3]  # S2A_MSIL1C_2018010... --> S2A
        self.absolute_orbit = img['orbitnumber']
        self.relative_orbit = img['relativeorbitnumber']
        self.datatake_id = img['s2datatakeid']
        self.processing_level = img['processinglevel'].split('-')[1]  # Level-1C --> L1C
        self.thumbnail = img['links']['icon']