Python utils.strftime方法代碼示例

# 需要導入模塊: from singer import utils [as 別名]
# 或者: from singer.utils import strftime [as 別名]
def setUp(self):
        self.schema = {
            'type': 'object',
            'properties': {
                'id': {'type': 'integer'},
                'color': {'type': 'string'}
            }
        }

        self.colors = ['red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet']
        self.key_names = ['id']
        self.bookmark_names = ['updated_at']

        self.records = [{'id': i, 'color': color, 'updated_at': utils.strftime(utils.now())}
                        for i, color in enumerate(self.colors)]
        self.messages = [RecordMessage(stream='colors', record=r) for r in self.records]
        self.messages.append(ActivateVersionMessage(stream='colors', version=1)) 

# 需要導入模塊: from singer import utils [as 別名]
# 或者: from singer.utils import strftime [as 別名]
def to_utc_datetime_str(val):
    if isinstance(val, datetime.datetime):
        the_datetime = val
    elif isinstance(val, datetime.date):
        the_datetime = datetime.datetime.combine(val, datetime.datetime.min.time())

    elif isinstance(val, datetime.timedelta):
        epoch = datetime.datetime.utcfromtimestamp(0)
        the_datetime = epoch + val

    else:
        raise ValueError("{!r} is not a valid date or time type".format(val))

    if the_datetime.tzinfo == None:
        # The mysql-replication library creates naive date and datetime objects
        # which will use the local timezone thus we must set tzinfo accordingly
        # See: https://github.com/noplay/python-mysql-replication/blob/master/pymysqlreplication/row_event.py#L143-L145

        #NB> this code will only work correctly when the local time is set to UTC because of the method timestamp()
        the_datetime = datetime.datetime.fromtimestamp(the_datetime.timestamp(), pytz.timezone('UTC'))

    return utils.strftime(the_datetime.astimezone(tz=pytz.UTC)) 

# 需要導入模塊: from singer import utils [as 別名]
# 或者: from singer.utils import strftime [as 別名]
def _serialize_datetime(val):
        """
        Serialize Bson and python datetime types
        Args:
            val: datetime value

        Returns: serialized datetime value

        """
        if isinstance(val, bson.datetime.datetime):
            timezone = tzlocal.get_localzone()
            try:
                local_datetime = timezone.localize(val)
                utc_datetime = local_datetime.astimezone(pytz.UTC)
            except Exception as ex:
                if str(ex) == 'year is out of range' and val.year == 0:
                    # NB: Since datetimes are persisted as strings, it doesn't
                    # make sense to blow up on invalid Python datetimes (e.g.,
                    # year=0). In this case we're formatting it as a string and
                    # passing it along down the pipeline.
                    return '{:04d}-{:02d}-{:02d}T{:02d}:{:02d}:{:02d}.{:06d}Z'.format(val.year,
                                                                                      val.month,
                                                                                      val.day,
                                                                                      val.hour,
                                                                                      val.minute,
                                                                                      val.second,
                                                                                      val.microsecond)
                raise MongoDBInvalidDatetimeError('Found invalid datetime {}'.format(val))

            return singer_strftime(utc_datetime)

        if isinstance(val, datetime.datetime):
            timezone = tzlocal.get_localzone()
            local_datetime = timezone.localize(val)
            utc_datetime = local_datetime.astimezone(pytz.UTC)
            return singer_strftime(utc_datetime)
        return None 

# 需要導入模塊: from singer import utils [as 別名]
# 或者: from singer.utils import strftime [as 別名]
def default(self, o): # false positive complaint -> pylint: disable=E0202
        """
        Custom function to serialize several sort of BSON and Python types
        Args:
            obj: Object to serialize

        Returns: Serialized value
        """
        encoding_map = {
            bson.objectid.ObjectId: str,
            uuid.UUID: str,
            bson.int64.Int64: str,
            bson.timestamp.Timestamp: lambda value: singer_strftime(value.as_datetime()),
            bytes: lambda value: base64.b64encode(value).decode('utf-8'),
            bson.decimal128.Decimal128: lambda val: val.to_decimal(),
            bson.regex.Regex: lambda val: dict(pattern=val.pattern, flags=val.flags),
            bson.code.Code: lambda val: dict(value=str(val), scope=str(val.scope)) if val.scope else str(val),
            bson.dbref.DBRef: lambda val: dict(id=str(val.id), collection=val.collection, database=val.database),
            datetime.datetime: self._serialize_datetime,
            bson.datetime.datetime: self._serialize_datetime
        }

        if o.__class__ in encoding_map:
            return encoding_map[o.__class__](o)

        return super(MongoDBJsonEncoder, self).default(o) 

# 需要導入模塊: from singer import utils [as 別名]
# 或者: from singer.utils import strftime [as 別名]
def set_bookmark(cls, path, val):
        if isinstance(val, datetime):
            val = utils.strftime(val)
        cls.bookmark(path[:-1])[path[-1]] = val 

# 需要導入模塊: from singer import utils [as 別名]
# 或者: from singer.utils import strftime [as 別名]
def write_current_sync_start(state, tap_stream_id, start):
    value = start
    if start is not None:
        value = utils.strftime(start)
    return singer.write_bookmark(state, tap_stream_id, "current_sync_start", value) 

# 需要導入模塊: from singer import utils [as 別名]
# 或者: from singer.utils import strftime [as 別名]
def sync_contacts(STATE, ctx):
    catalog = ctx.get_catalog_from_id(singer.get_currently_syncing(STATE))
    bookmark_key = 'versionTimestamp'
    start = utils.strptime_with_tz(get_start(STATE, "contacts", bookmark_key))
    LOGGER.info("sync_contacts from %s", start)

    max_bk_value = start
    schema = load_schema("contacts")

    singer.write_schema("contacts", schema, ["vid"], [bookmark_key], catalog.get('stream_alias'))

    url = get_url("contacts_all")

    vids = []
    with Transformer(UNIX_MILLISECONDS_INTEGER_DATETIME_PARSING) as bumble_bee:
        for row in gen_request(STATE, 'contacts', url, default_contact_params, 'contacts', 'has-more', ['vid-offset'], ['vidOffset']):
            modified_time = None
            if bookmark_key in row:
                modified_time = utils.strptime_with_tz(
                    _transform_datetime( # pylint: disable=protected-access
                        row[bookmark_key],
                        UNIX_MILLISECONDS_INTEGER_DATETIME_PARSING))

            if not modified_time or modified_time >= start:
                vids.append(row['vid'])

            if modified_time and modified_time >= max_bk_value:
                max_bk_value = modified_time

            if len(vids) == 100:
                _sync_contact_vids(catalog, vids, schema, bumble_bee)
                vids = []

        _sync_contact_vids(catalog, vids, schema, bumble_bee)

    STATE = singer.write_bookmark(STATE, 'contacts', bookmark_key, utils.strftime(max_bk_value))
    singer.write_state(STATE)
    return STATE 

# 需要導入模塊: from singer import utils [as 別名]
# 或者: from singer.utils import strftime [as 別名]
def record_to_bk_value(self, stream, record):
        # Deals and Companies records have been transformed so the bookmark
        # is prefixed by "property_". There is a nest map structure beneath the value.

        if stream == 'companies':
            bk_value = record.get('property_hs_lastmodifieddate') or record.get('createdate')
            if bk_value is None:
                return None
            return bk_value.get('value')

        if stream == 'deals':
            bk_value = record.get('property_hs_lastmodifieddate')
            if bk_value is None:
                return None
            return bk_value.get('value')
        else:
            bk_columns = self.expected_bookmarks().get(stream, [])
            if len(bk_columns) == 0:
                return None

            bk_column = bk_columns[0] #only consider first bookmark

            bk_value = record.get(bk_column)
            if not bk_value:
                raise Exception("Record received without bookmark value for stream {}: {}".format(stream, record))
            return utils.strftime(utils.strptime_with_tz(bk_value)) 

# 需要導入模塊: from singer import utils [as 別名]
# 或者: from singer.utils import strftime [as 別名]
def get_objects(self):
        since_id = 1
        bookmark = self.get_bookmark()
        max_bookmark = utils.strftime(utils.now())
        while True:
            query_params = {
                "since_id": since_id,
                "limit": RESULTS_PER_PAGE,
            }

            objects = self.call_api(query_params)

            for obj in objects:
                # Syncing Collects is a full sync every time but emitting
                # records that have an updated_date greater than the
                # bookmark
                if not obj.updated_at and obj.id:
                    LOGGER.info('Collect with id: %d does not have an updated_at, syncing it!',
                                obj.id)
                if not obj.updated_at or utils.strptime_with_tz(obj.updated_at) > bookmark:
                    if obj.id < since_id:
                        raise OutOfOrderIdsError("obj.id < since_id: {} < {}".format(
                            obj.id, since_id))
                    yield obj

            if len(objects) < RESULTS_PER_PAGE:
                # Update the bookmark at the end of the last page
                self.update_bookmark(max_bookmark)
                break
            if objects[-1].id != max([o.id for o in objects]):
                raise OutOfOrderIdsError("{} is not the max id in objects ({})".format(
                    objects[-1].id, max([o.id for o in objects])))
            since_id = objects[-1].id 

# 需要導入模塊: from singer import utils [as 別名]
# 或者: from singer.utils import strftime [as 別名]
def asdict(self):
        result = {
            'type': 'RECORD',
            'stream': self.stream,
            'record': self.record,
        }
        if self.version is not None:
            result['version'] = self.version
        if self.time_extracted:
            as_utc = self.time_extracted.astimezone(pytz.utc)
            result['time_extracted'] = u.strftime(as_utc)
        return result 

# 需要導入模塊: from singer import utils [as 別名]
# 或者: from singer.utils import strftime [as 別名]
def test_small_years(self):
        self.assertEqual(u.strftime(dt(90, 1, 1, tzinfo=pytz.UTC)),
                         "0090-01-01T00:00:00.000000Z") 

# 需要導入模塊: from singer import utils [as 別名]
# 或者: from singer.utils import strftime [as 別名]
def test_round_trip(self):
        now = dt.utcnow().replace(tzinfo=pytz.UTC)
        dtime = u.strftime(now)
        pdtime = u.strptime_to_utc(dtime)
        fdtime = u.strftime(pdtime)
        self.assertEqual(dtime, fdtime) 

# 需要導入模塊: from singer import utils [as 別名]
# 或者: from singer.utils import strftime [as 別名]
def resume_syncing_bulk_query(sf, catalog_entry, job_id, state, counter):
    bulk = Bulk(sf)
    current_bookmark = singer.get_bookmark(state, catalog_entry['tap_stream_id'], 'JobHighestBookmarkSeen') or sf.get_start_date(state, catalog_entry)
    current_bookmark = singer_utils.strptime_with_tz(current_bookmark)
    batch_ids = singer.get_bookmark(state, catalog_entry['tap_stream_id'], 'BatchIDs')

    start_time = singer_utils.now()
    stream = catalog_entry['stream']
    stream_alias = catalog_entry.get('stream_alias')
    catalog_metadata = metadata.to_map(catalog_entry.get('metadata'))
    replication_key = catalog_metadata.get((), {}).get('replication-key')
    stream_version = get_stream_version(catalog_entry, state)
    schema = catalog_entry['schema']

    if not bulk.job_exists(job_id):
        LOGGER.info("Found stored Job ID that no longer exists, resetting bookmark and removing JobID from state.")
        return counter

    # Iterate over the remaining batches, removing them once they are synced
    for batch_id in batch_ids[:]:
        with Transformer(pre_hook=transform_bulk_data_hook) as transformer:
            for rec in bulk.get_batch_results(job_id, batch_id, catalog_entry):
                counter.increment()
                rec = transformer.transform(rec, schema)
                rec = fix_record_anytype(rec, schema)
                singer.write_message(
                    singer.RecordMessage(
                        stream=(
                            stream_alias or stream),
                        record=rec,
                        version=stream_version,
                        time_extracted=start_time))

                # Update bookmark if necessary
                replication_key_value = replication_key and singer_utils.strptime_with_tz(rec[replication_key])
                if replication_key_value and replication_key_value <= start_time and replication_key_value > current_bookmark:
                    current_bookmark = singer_utils.strptime_with_tz(rec[replication_key])

        state = singer.write_bookmark(state,
                                      catalog_entry['tap_stream_id'],
                                      'JobHighestBookmarkSeen',
                                      singer_utils.strftime(current_bookmark))
        batch_ids.remove(batch_id)
        LOGGER.info("Finished syncing batch %s. Removing batch from state.", batch_id)
        LOGGER.info("Batches to go: %d", len(batch_ids))
        singer.write_state(state)

    return counter 

# 需要導入模塊: from singer import utils [as 別名]
# 或者: from singer.utils import strftime [as 別名]
def sync_companies(STATE, ctx):
    catalog = ctx.get_catalog_from_id(singer.get_currently_syncing(STATE))
    mdata = metadata.to_map(catalog.get('metadata'))
    bumble_bee = Transformer(UNIX_MILLISECONDS_INTEGER_DATETIME_PARSING)
    bookmark_key = 'hs_lastmodifieddate'
    start = utils.strptime_to_utc(get_start(STATE, "companies", bookmark_key))
    LOGGER.info("sync_companies from %s", start)
    schema = load_schema('companies')
    singer.write_schema("companies", schema, ["companyId"], [bookmark_key], catalog.get('stream_alias'))

    # Because this stream doesn't query by `lastUpdated`, it cycles
    # through the data set every time. The issue with this is that there
    # is a race condition by which records may be updated between the
    # start of this table's sync and the end, causing some updates to not
    # be captured, in order to combat this, we must store the current
    # sync's start in the state and not move the bookmark past this value.
    current_sync_start = get_current_sync_start(STATE, "companies") or utils.now()
    STATE = write_current_sync_start(STATE, "companies", current_sync_start)
    singer.write_state(STATE)

    url = get_url("companies_all")
    max_bk_value = start
    if CONTACTS_BY_COMPANY in ctx.selected_stream_ids:
        contacts_by_company_schema = load_schema(CONTACTS_BY_COMPANY)
        singer.write_schema("contacts_by_company", contacts_by_company_schema, ["company-id", "contact-id"])

    with bumble_bee:
        for row in gen_request(STATE, 'companies', url, default_company_params, 'companies', 'has-more', ['offset'], ['offset']):
            row_properties = row['properties']
            modified_time = None
            if bookmark_key in row_properties:
                # Hubspot returns timestamps in millis
                timestamp_millis = row_properties[bookmark_key]['timestamp'] / 1000.0
                modified_time = datetime.datetime.fromtimestamp(timestamp_millis, datetime.timezone.utc)
            elif 'createdate' in row_properties:
                # Hubspot returns timestamps in millis
                timestamp_millis = row_properties['createdate']['timestamp'] / 1000.0
                modified_time = datetime.datetime.fromtimestamp(timestamp_millis, datetime.timezone.utc)

            if modified_time and modified_time >= max_bk_value:
                max_bk_value = modified_time

            if not modified_time or modified_time >= start:
                record = request(get_url("companies_detail", company_id=row['companyId'])).json()
                record = bumble_bee.transform(lift_properties_and_versions(record), schema, mdata)
                singer.write_record("companies", record, catalog.get('stream_alias'), time_extracted=utils.now())
                if CONTACTS_BY_COMPANY in ctx.selected_stream_ids:
                    STATE = _sync_contacts_by_company(STATE, ctx, record['companyId'])

    # Don't bookmark past the start of this sync to account for updated records during the sync.
    new_bookmark = min(max_bk_value, current_sync_start)
    STATE = singer.write_bookmark(STATE, 'companies', bookmark_key, utils.strftime(new_bookmark))
    STATE = write_current_sync_start(STATE, 'companies', None)
    singer.write_state(STATE)
    return STATE 

# 需要導入模塊: from singer import utils [as 別名]
# 或者: from singer.utils import strftime [as 別名]
def sync_deals(STATE, ctx):
    catalog = ctx.get_catalog_from_id(singer.get_currently_syncing(STATE))
    mdata = metadata.to_map(catalog.get('metadata'))
    bookmark_key = 'hs_lastmodifieddate'
    start = utils.strptime_with_tz(get_start(STATE, "deals", bookmark_key))
    max_bk_value = start
    LOGGER.info("sync_deals from %s", start)
    most_recent_modified_time = start
    params = {'count': 250,
              'includeAssociations': False,
              'properties' : []}

    schema = load_schema("deals")
    singer.write_schema("deals", schema, ["dealId"], [bookmark_key], catalog.get('stream_alias'))

    # Check if we should  include associations
    for key in mdata.keys():
        if 'associations' in key:
            assoc_mdata = mdata.get(key)
            if (assoc_mdata.get('selected') and assoc_mdata.get('selected') == True):
                params['includeAssociations'] = True

    if mdata.get(('properties', 'properties'), {}).get('selected') or has_selected_custom_field(mdata):
        # On 2/12/20, hubspot added a lot of additional properties for
        # deals, and appending all of them to requests ended up leading to
        # 414 (url-too-long) errors. Hubspot recommended we use the
        # `includeAllProperties` and `allpropertiesFetchMode` params
        # instead.
        params['includeAllProperties'] = True
        params['allPropertiesFetchMode'] = 'latest_version'

    url = get_url('deals_all')
    with Transformer(UNIX_MILLISECONDS_INTEGER_DATETIME_PARSING) as bumble_bee:
        for row in gen_request(STATE, 'deals', url, params, 'deals', "hasMore", ["offset"], ["offset"]):
            row_properties = row['properties']
            modified_time = None
            if bookmark_key in row_properties:
                # Hubspot returns timestamps in millis
                timestamp_millis = row_properties[bookmark_key]['timestamp'] / 1000.0
                modified_time = datetime.datetime.fromtimestamp(timestamp_millis, datetime.timezone.utc)
            elif 'createdate' in row_properties:
                # Hubspot returns timestamps in millis
                timestamp_millis = row_properties['createdate']['timestamp'] / 1000.0
                modified_time = datetime.datetime.fromtimestamp(timestamp_millis, datetime.timezone.utc)
            if modified_time and modified_time >= max_bk_value:
                max_bk_value = modified_time

            if not modified_time or modified_time >= start:
                record = bumble_bee.transform(lift_properties_and_versions(row), schema, mdata)
                singer.write_record("deals", record, catalog.get('stream_alias'), time_extracted=utils.now())

    STATE = singer.write_bookmark(STATE, 'deals', bookmark_key, utils.strftime(max_bk_value))
    singer.write_state(STATE)
    return STATE

#NB> no suitable bookmark is available: https://developers.hubspot.com/docs/methods/email/get_campaigns_by_id