Classes
class	ContinuousRange

class	Radius

class	Range

class	RegExp

Functions
def	apply_filter (orm_query, orm_class, attribute, value)

def	apply_filters (orm_query, orm_class, filters)

def	class_name_to_column (cls)

def	date_args_to_days (radius)

def	generate (map_blobs=False, class_name=None)

def	session_independent (objects)

def	session_independent_object (object, schema=None)

def	status_full_name (status)

Detailed Description

Using Audrius' models from flask browser.

This file contains models that are used with SQLAlchemy.

Note: some things done in methods written in classes rely on the querying module adding extra information to classes,
      so these will not work in a normal context outside the framework.

Function Documentation

def models.apply_filter	(	orm_query,
		orm_class,
		attribute,
		value
	)

Definition at line 154 of file models.py.

Referenced by apply_filters(), calo_filter(), FilterScrapingPixelProbability.filter(), and FilterScrapingPixelProbability.FilterScrapingPixelProbability().

 def apply_filter(orm_query, orm_class, attribute, value):
     filter_attribute = getattr(orm_class, attribute)
     if isinstance(value, list):
         orm_query = orm_query.filter(filter_attribute.in_(value))
     elif isinstance(value, data_sources.json_list):
         orm_query = orm_query.filter(filter_attribute.in_(value.data()))
     elif type(value) in [Range, Radius]:
 
         minus = value.get_start()
         plus = value.get_end()
         orm_query = orm_query.filter(and_(filter_attribute >= minus, filter_attribute <= plus))
 
     elif isinstance(value, RegExp):
 
         # Relies on being a SingletonThreadPool
 
         if value.database_type in ["oracle", "frontier"]:
             regexp = sqlalchemy.func.regexp_like(filter_attribute, value.get_regexp())
         elif value.database_type == "sqlite":
             value.connection_object.engine.pool.connect().create_function('regexp', 2, lambda data, regexp: re.search(regexp, data) is not None)
             regexp = sqlalchemy.func.regexp(filter_attribute, value.get_regexp())
         else:
             raise NotImplemented("Can only apply regular expression search to Oracle, Frontier and SQLite.")
         orm_query = orm_query.filter(regexp)
 
     else:
         orm_query = orm_query.filter(filter_attribute == value)
     return orm_query
 

def models.apply_filters	(	orm_query,
		orm_class,
		filters
	)

Definition at line 183 of file models.py.

References apply_filter().

Referenced by generate(), and querying.factory.object().

 def apply_filters(orm_query, orm_class, **filters):
     for (key, value) in filters.items():
         if not(key in ["amount"]):
             orm_query = apply_filter(orm_query, orm_class, key, value)
     return orm_query
 

def models.class_name_to_column ( cls )

Definition at line 59 of file models.py.

References join(), and str.

Referenced by data_sources.json_list.as_table(), session_independent_object(), and data_formats_tests.data_formats_tests.test_dicts_to_orm_objects().

 def class_name_to_column(cls):
     class_name = cls.__name__
     all_upper_case = True
     for character in class_name:
         all_upper_case = character.isupper()
     if all_upper_case:
         return class_name
     for n in range(0, len(class_name)):
         if class_name[n].isupper() and n != 0:
             class_name = str(class_name[0:n]) + "".join(["_", class_name[n].lower()]) + str(class_name[n+1:])
         elif class_name[n].isupper() and n == 0:
             class_name = str(class_name[0:n]) + "".join([class_name[n].lower()]) + str(class_name[n+1:])
     return class_name
 

def models.date_args_to_days ( radius )

Definition at line 81 of file models.py.

 def date_args_to_days(**radius):
     days = radius.get("days")
     days += radius.get("weeks")*7 if radius.get("weeks") != None else 0
     days += radius.get("months")*28 if radius.get("months") != None else 0
     days += radius.get("years")+365 if radius.get("years") != None else 0
     return days
 

def models.generate	(	map_blobs = `False`,
		class_name = `None`
	)

Definition at line 189 of file models.py.

References data_formats._dicts_to_orm_objects(), Vispa.Plugins.EdmBrowser.EdmDataAccessor.all(), apply_filters(), CustomConfigs.Base(), data, cmsPerfStripChart.dict, diffTreeTool.diff, ALCARECOTkAlBeamHalo_cff.filter, plotBeamSpotDB.first, join(), MessageLogger_cfi.limit, data_sources.json_data_node.make(), genParticles_cff.map, edm.print(), status_full_name(), str, utils.to_timestamp(), and ComparisonHelper.zip().

Referenced by data_sources.json_list.as_table(), DPFIsolation.getPredictions(), l1t::stage2::GMTCollections.GMTCollections(), l1t::stage2::GTCollections.GTCollections(), condformats_serialization_generate.main(), and session_independent_object().

 def generate(map_blobs=False, class_name=None):
 
     Base = declarative_base()
 
     class GlobalTag(Base):
         __tablename__ = 'GLOBAL_TAG'
 
         headers = ["name", "validity", "description", "release", "insertion_time", "snapshot_time", "scenario", "workflow", "type"]
 
         name = Column(String(100), unique=True, nullable=False, primary_key=True)
         validity = Column(Integer, nullable=False)
         description = Column(String(4000), nullable=False)
         release = Column(String(100), nullable=False)
         insertion_time = Column(DateTime, nullable=False)
         snapshot_time = Column(DateTime, nullable=False)
         scenario = Column(String(100))
         workflow = Column(String(100))
         type = Column(String(1))
         tag_map = relationship('GlobalTagMap', backref='global_tag')
 
         def __init__(self, dictionary={}, convert_timestamps=True):
             # assign each entry in a kwargs
             for key in dictionary:
                 try:
                     if convert_timestamps:
                         self.__dict__[key] = to_timestamp(dictionary[key])
                     else:
                         self.__dict__[key] = dictionary[key]
                 except KeyError as k:
                     continue
 
         def __repr__(self):
             return '<GlobalTag %r>' % self.name
 
         def as_dicts(self, convert_timestamps=False):
             """
             Returns dictionary form of Global Tag object.
             """
             json_gt = {
                 'name': self.name,
                 'validity': self.validity,
                 'description': self.description,
                 'release': self.release,
                 'insertion_time': to_timestamp(self.insertion_time) if convert_timestamps else self.insertion_time,
                 'snapshot_time': to_timestamp(self.snapshot_time) if convert_timestamps else self.snapshot_time,
                 'scenario': self.scenario,
                 'workflow': self.workflow,
                 'type': self.type
             }
             return json_gt
 
         def to_array(self):
             return [self.name, self.release, to_timestamp(self.insertion_time), to_timestamp(self.snapshot_time), self.description]
 
         def all(self, **kwargs):
             """
             Returns `amount` Global Tags ordered by Global Tag name.
             """
             query = self.session.query(GlobalTag)
             query = apply_filters(query, self.__class__, **kwargs)
             amount = kwargs["amount"] if "amount" in kwargs.keys() else None
             query_result = query.order_by(GlobalTag.name).limit(amount).all()
             gts = data_sources.json_data_node.make(query_result)
             return gts
 
         def tags(self, **kwargs):
             """
             Returns `amount` *Global Tag Maps* belonging to this Global Tag.
             """
             kwargs["global_tag_name"] = self.name
             all_tags = self.session.query(GlobalTagMap.global_tag_name, GlobalTagMap.record, GlobalTagMap.label, GlobalTagMap.tag_name)
             all_tags = apply_filters(all_tags, GlobalTagMap, **kwargs)
             amount = kwargs["amount"] if "amount" in kwargs.keys() else None
             all_tags = all_tags.order_by(GlobalTagMap.tag_name).limit(amount).all()
             column_names = ["global_tag_name", "record", "label", "tag_name"]
             all_tags = map(lambda row : dict(zip(column_names, map(to_timestamp, row))), all_tags)
             all_tags = data_formats._dicts_to_orm_objects(GlobalTagMap, all_tags)
             return data_sources.json_data_node.make(all_tags)
 
         def iovs(self, **kwargs):
             """
             Returns `amount` IOVs belonging to all Tags held in this Global Tag.
             For large Global Tags (which is most of them), VERY slow.
             Highly recommended to instead used `tags().get_members("tag_name").data()` to get a `list` of tag names,
             and then get IOVs from each Tag name.
 
             At some point, this method may replace the method currently used.
             """
             # join global_tag_map onto iov (where insertion time <= gt snapshot) by tag_name + return results
             # first get only the IOVs that belong to Tags that are contained by this Global Tag
 
             # get IOVs belonging to a Tag contained by this Global Tag
             tag_names = self.tags().get_members("tag_name").data()
             iovs_all_tags = self.session.query(IOV).filter(IOV.tag_name.in_(tag_names))
             iovs_all_tags = apply_filters(iovs_all_tags, IOV, **kwargs)
             amount = kwargs["amount"] if "amount" in kwargs.keys() else None
             iovs_all_tags = iovs_all_tags.limit(amount).subquery()
 
             # now, join Global Tag Map table onto IOVs
             iovs_gt_tags = self.session.query(GlobalTagMap.tag_name, iovs_all_tags.c.since,\
                                                     iovs_all_tags.c.payload_hash, iovs_all_tags.c.insertion_time)\
                                             .filter(GlobalTagMap.global_tag_name == self.name)\
                                             .join(iovs_all_tags, GlobalTagMap.tag_name == iovs_all_tags.c.tag_name)
 
             iovs_gt_tags = iovs_gt_tags.order_by(iovs_all_tags.c.since).all()
 
             column_names = ["tag_name", "since", "payload_hash", "insertion_time"]
             all_iovs = map(lambda row : dict(zip(column_names, row)), iovs_gt_tags)
             all_iovs = data_formats._dicts_to_orm_objects(IOV, all_iovs)
 
             return data_sources.json_data_node.make(all_iovs)
 
         def __sub__(self, other):
             """
             Allows Global Tag objects to be used with the "-" arithmetic operator to find their difference.
             Note: gt1 - gt2 = gt1.diff(gt2) ( = gt2 - gt1 = gt2.diff(gt1))
             """
             return self.diff(other)
 
         def diff(self, gt):
             """
             Returns the json_list of differences in the form of tuples:
 
             (record, label, tag name of gt1 (self), tag name of gt2 (gt))
             """
 
             record_label_to_tag_name1 = dict([((gt_map.record, gt_map.label), gt_map.tag_name) for gt_map in self.tags().data()])
             record_label_to_tag_name2 = dict([((gt_map.record, gt_map.label), gt_map.tag_name) for gt_map in gt.tags().data()])
 
             record_label_pairs = sorted(set(record_label_to_tag_name1) | set(record_label_to_tag_name2))
 
             table = []
             tags_pairs_with_differences = []
 
             for record_label in record_label_pairs:
                 tag_name1 = record_label_to_tag_name1.get(record_label)
                 tag_name2 = record_label_to_tag_name2.get(record_label)
 
                 if tag_name1 == None or tag_name2 == None or tag_name1 != tag_name2:
                     table.append({
                             "Record" : record_label[0],
                             "Label" : record_label[1],
                             ("%s Tag" % self.name) : tag_name1,
                             ("%s Tag" % gt.name) : tag_name2
                         })
 
             return data_sources.json_data_node.make(table)
 
     class GlobalTagMap(Base):
         __tablename__ = 'GLOBAL_TAG_MAP'
 
         headers = ["global_tag_name", "record", "label", "tag_name"]
 
         global_tag_name = Column(String(100), ForeignKey('GLOBAL_TAG.name'), primary_key=True, nullable=False)
         record = Column(String(100), ForeignKey('RECORDS.record'), primary_key=True, nullable=False)
         label = Column(String(100), primary_key=True, nullable=False)
         tag_name = Column(String(100), ForeignKey('TAG.name'), nullable=False)
 
         def __init__(self, dictionary={}, convert_timestamps=True):
             # assign each entry in a kwargs
             for key in dictionary:
                 try:
                     if convert_timestamps:
                         self.__dict__[key] = to_timestamp(dictionary[key])
                     else:
                         self.__dict__[key] = dictionary[key]
                 except KeyError as k:
                     continue
 
         def __repr__(self):
             return '<GlobalTagMap %r>' % self.global_tag_name
 
         def as_dicts(self, convert_timestamps=False):
             """
             Returns dictionary form of this Global Tag Map.
             """
             json_gtm = {
                 "global_tag_name" : str(self.global_tag_name),
                 "record" : str(self.record),
                 "label" : str(self.label),
                 "tag_name" : str(self.tag_name)
             }
             return json_gtm
 
 
     class GlobalTagMapRequest(Base):
         __tablename__ = 'GLOBAL_TAG_MAP_REQUEST'
 
         queue = Column(String(100), primary_key=True, nullable=False)
         tag = Column(String(100), ForeignKey('TAG.name'), primary_key=True, nullable=False)
         record = Column(String(100), ForeignKey('RECORDS.record'), primary_key=True, nullable=False)
         label = Column(String(100), primary_key=True, nullable=False)
         status = Column(String(1), nullable=False)
         description = Column(String(4000), nullable=False)
         submitter_id = Column(Integer, nullable=False)
         time_submitted = Column(DateTime, nullable=False)
         last_edited = Column(DateTime, nullable=False)
 
         def __init__(self, dictionary={}, convert_timestamps=True):
             # assign each entry in a kwargs
             for key in dictionary:
                 try:
                     if convert_timestamps:
                         self.__dict__[key] = to_timestamp(dictionary[key])
                     else:
                         self.__dict__[key] = dictionary[key]
                 except KeyError as k:
                     continue
 
         headers = ["queue", "tag", "record", "label", "status", "description", "submitter_id", "time_submitted", "last_edited"]
 
         def as_dicts(self):
             """
             Returns dictionary form of this Global Tag Map Request.
             """
             return {
                 "queue" : self.queue,
                 "tag" : self.tag,
                 "record" : self.record,
                 "label" : self.label,
                 "status" : self.status,
                 "description" : self.description,
                 "submitter_id" : self.submitter_id,
                 "time_submitted" : self.time_submitted,
                 "last_edited" : self.last_edited
             }
 
         def __repr__(self):
             return '<GlobalTagMapRequest %r>' % self.queue
 
         def to_array(self):
             return [self.queue, self.tag, self.record, self.label, status_full_name(self.status), to_timestamp(self.time_submitted), to_timestamp(self.last_edited)]
 
     class IOV(Base):
         __tablename__ = 'IOV'
 
         headers = ["tag_name", "since", "payload_hash", "insertion_time"]
 
         tag_name = Column(String(4000), ForeignKey('TAG.name'), primary_key=True, nullable=False)
         since = Column(Integer, primary_key=True, nullable=False)
         payload_hash = Column(String(40), ForeignKey('PAYLOAD.hash'), nullable=False)
         insertion_time = Column(DateTime, primary_key=True, nullable=False)
 
         def __init__(self, dictionary={}, convert_timestamps=True):
             # assign each entry in a kwargs
             for key in dictionary:
                 try:
                     if convert_timestamps:
                         self.__dict__[key] = to_timestamp(dictionary[key])
                     else:
                         self.__dict__[key] = dictionary[key]
                 except KeyError as k:
                     continue
 
         def as_dicts(self, convert_timestamps=False):
             """
             Returns dictionary form of this IOV.
             """
             return {
                 "tag_name" : self.tag_name,
                 "since" : self.since,
                 "payload_hash" : self.payload_hash,
                 "insertion_time" : to_timestamp(self.insertion_time) if convert_timestamps else self.insertion_time
             }
 
         def __repr__(self):
             return '<IOV %r>' % self.tag_name
 
         def to_array(self):
             return [self.since, to_timestamp(self.insertion_time), self.payload_hash]
 
         def all(self, **kwargs):
             """
             Returns `amount` IOVs ordered by since.
             """
             query = self.session.query(IOV)
             query = apply_filters(query, IOV, **kwargs)
             amount = kwargs["amount"] if "amount" in kwargs.keys() else None
             query_result = query.order_by(IOV.tag_name).order_by(IOV.since).limit(amount).all()
             return data_sources.json_data_node.make(query_result)
 
 
     class Payload(Base):
         __tablename__ = 'PAYLOAD'
 
         headers = ["hash", "object_type", "version", "insertion_time"]
 
         hash = Column(String(40), primary_key=True, nullable=False)
         object_type = Column(String(4000), nullable=False)
         version = Column(String(4000), nullable=False)
         insertion_time = Column(DateTime, nullable=False)
         if map_blobs:
             data = Column(Binary, nullable=False)
             streamer_info = Column(Binary, nullable=False)
         blobs_mapped = map_blobs
 
         def __init__(self, dictionary={}, convert_timestamps=True):
             # assign each entry in a kwargs
             for key in dictionary:
                 try:
                     if convert_timestamps:
                         self.__dict__[key] = to_timestamp(dictionary[key])
                     else:
                         self.__dict__[key] = dictionary[key]
                 except KeyError as k:
                     continue
 
         if map_blobs:
             def as_dicts(self, convert_timestamps=False):
                 """
                 Returns dictionary form of this Payload's metadata (not the actual Payload).
                 """
                 return {
                     "hash" : self.hash,
                     "object_type" : self.object_type,
                     "version" : self.version,
                     "insertion_time" : to_timestamp(self.insertion_time) if convert_timestamps else self.insertion_time,
                     "data" : self.data,
                     "streamer_info" : self.streamer_info
                 }
         else:
             def as_dicts(self, convert_timestamps=False):
                 """
                 Returns dictionary form of this Payload's metadata (not the actual Payload).
                 """
                 return {
                     "hash" : self.hash,
                     "object_type" : self.object_type,
                     "version" : self.version,
                     "insertion_time" : to_timestamp(self.insertion_time) if convert_timestamps else self.insertion_time
                 }
 
         def __repr__(self):
             return '<Payload %r>' % self.hash
 
         def to_array(self):
             return [self.hash, self.object_type, self.version, to_timestamp(self.insertion_time)]
 
         def parent_tags(self, **kwargs):
             """
             Returns `amount` parent Tags ordered by Tag name.
             """
             # check if this payload is empty
             if self.empty:
                 return None
             else:
                 kwargs["payload_hash"] = self.hash
                 query = self.session.query(IOV.tag_name)
                 query = apply_filters(query, IOV, **kwargs)
                 query_result = query.all()
                 tag_names = map(lambda entry : entry[0], query_result)
                 amount = kwargs["amount"] if "amount" in kwargs.keys() else None
                 tags = self.session.query(Tag).filter(Tag.name.in_(tag_names)).order_by(Tag.name).limit(amount).all()
                 return data_sources.json_data_node.make(tags)
 
         def all(self, **kwargs):
             """
             Returns `amount` Payloads ordered by Payload hash.
             """
             query = self.session.query(Payload)
             query = apply_filters(query, Payload, **kwargs)
             amount = kwargs["amount"] if "amount" in kwargs.keys() else None
             query_result = query.order_by(Payload.hash).limit(amount).all()
             return data_sources.json_data_node.make(query_result)
 
 
     class Record(Base):
         __tablename__ = 'RECORDS'
 
         headers = ["record", "object", "type"]
 
         record = Column(String(100), primary_key=True, nullable=False)
         object = Column(String(200), nullable=False)
         type = Column(String(20), nullable=False)
 
         def as_dicts(self):
             """
             Returns dictionary form of this Record.
             """
             return {
                 "record" : self.record,
                 "object" : self.object,
                 "type" : self.type
             }
 
         def __repr__(self):
             return '<Record %r>' % self.record
 
         def to_array(self):
             return [self.record, self.object]
 
         def all(self, **kwargs):
             """
             Returns `amount` Records ordered by Record record.
             """
             query = self.session.query(Record)
             query = apply_filters(query, Record, kwargs)
             amount = kwargs["amount"] if "amount" in kwargs.keys() else None
             query_result = query.order_by(Record.record).limit(amount).all()
             return data_sources.json_data_node.make(query_result)
 
 
     class Tag(Base):
         __tablename__ = 'TAG'
 
         headers = ["name", "time_type", "object_type", "synchronization", "end_of_validity",\
                     "description", "last_validated_time", "insertion_time", "modification_time"]
 
         name = Column(String(4000), primary_key=True, nullable=False)
         time_type = Column(String(4000), nullable=False)
         object_type = Column(String(4000), nullable=False)
         synchronization = Column(String(4000), nullable=False)
         end_of_validity = Column(Integer, nullable=False)
         description = Column(String(4000), nullable=False)
         last_validated_time = Column(BigInteger, nullable=False)
         insertion_time = Column(DateTime, nullable=False)
         modification_time = Column(DateTime, nullable=False)
 
         record = None
         label = None
 
         iovs_list = relationship('IOV', backref='tag')
 
         def __init__(self, dictionary={}, convert_timestamps=True):
             # assign each entry in a kwargs
             for key in dictionary:
                 try:
                     if convert_timestamps:
                         self.__dict__[key] = to_timestamp(dictionary[key])
                     else:
                         self.__dict__[key] = dictionary[key]
                 except KeyError as k:
                     continue
 
         def as_dicts(self, convert_timestamps=False):
             """
             Returns dictionary form of this Tag.
             """
             return {
                 "name" : self.name,
                 "time_type" : self.time_type,
                 "object_type" : self.object_type,
                 "synchronization" : self.synchronization,
                 "end_of_validity" : self.end_of_validity,
                 "description" : self.description,
                 "last_validated_time" : self.last_validated_time,
                 "insertion_time" : to_timestamp(self.insertion_time) if convert_timestamps else self.insertion_time,
                 "modification_time" : to_timestamp(self.modification_time) if convert_timestamps else self.modification_time,
                 "record" : self.record,
                 "label" : self.label
             }
 
         def __repr__(self):
             return '<Tag %r>' % self.name
 
         def to_array(self):
             return [self.name, self.time_type, self.object_type, self.synchronization, to_timestamp(self.insertion_time), self.description]
 
         def parent_global_tags(self, **kwargs):
             """
             Returns `amount` Global Tags that contain this Tag.
             """
             if self.empty:
                 return None
             else:
                 kwargs["tag_name"] = self.name
                 query = self.session.query(GlobalTagMap.global_tag_name)
                 query = apply_filters(query, GlobalTagMap, **kwargs)
                 query_result = query.all()
                 if len(query_result) != 0:
                     global_tag_names = map(lambda entry : entry[0], query_result)
                     amount = kwargs["amount"] if "amount" in kwargs.keys() else None
                     global_tags = self.session.query(GlobalTag).filter(GlobalTag.name.in_(global_tag_names)).order_by(GlobalTag.name).limit(amount).all()
                 else:
                     global_tags = None
                 return data_sources.json_data_node.make(global_tags)
 
         def all(self, **kwargs):
             """
             Returns `amount` Tags ordered by Tag name.
             """
             query = self.session.query(Tag)
             query = apply_filters(query, Tag, **kwargs)
             amount = kwargs["amount"] if "amount" in kwargs.keys() else None
             query_result = query.order_by(Tag.name).limit(amount).all()
             return data_sources.json_data_node.make(query_result)
 
         def iovs(self, **kwargs):
             """
             Returns `amount` IOVs that belong to this Tag ordered by IOV since.
             """
             # filter_params contains a list of columns to filter the iovs by
             iovs_query = self.session.query(IOV).filter(IOV.tag_name == self.name)
             iovs_query = apply_filters(iovs_query, IOV, **kwargs)
             amount = kwargs["amount"] if "amount" in kwargs.keys() else None
             iovs = iovs_query.order_by(IOV.since).limit(amount).all()
             return data_sources.json_data_node.make(iovs)
 
         def latest_iov(self):
             """
             Returns the single highest since held by this Tag.
             Insertion times do not matter - if there are two IOVs at since > all others, both have the highest since.
             """
             iov = self.session.query(IOV).filter(IOV.tag_name == self.name).order_by(IOV.since.desc()).first()
             return iov
 
         def __sub__(self, other):
             """
             Allows the arithmetic operator "-" to be applied to find the difference between two tags.
             Note: diff() is symmetric, hence tag1 - tag2 = tag2 - tag1.
             """
             return self.diff(other)
 
         def diff(self, tag, short=False):
             """
             Returns the `diff` of the first Tag, and the Tag given.
             Summary of algorithm:
 
             Compute the ordered set of iov sinces from both tags, and construct a list of triples, (since, tag1 hash, tag2 hash).
             Set previous_payload1 and previous_payload2 to be the first hash values from each tag for the first since in the merged list.
                 Note: depending on where each Tag's IOVs start, 1 or both of these values can be None.
             Set the first_since_in_equality_range = -1, which holds the since at which the last hashes were equal in the Tags.
             For each triple (since, hash1, hash2),
 
                 If the first_since_in_equality_range = None,
                     We are at the first since in the merged list, so set first_since... = since
                     Note: this is so set the previous... values for the second row, since the first row will never result in a print because
                     a row is only printed when past iovs have been processed.
 
                 If either hash1 or hash2 is None, set it to the previous hash found
                     Note: if a Tag defines a hash for one since and then not another for n rows, the last defined hash will be carried through because of this.
 
                 If the previous found hashes were equal, that means we have equality on the range [first_since_in_equality_range, since)
                     Note: we CANNOT conclude anything about the hashes corresponding to sinces >= since
                             because we have no looked forward, but we do know about the previous hashes.
 
                     If hash1 != hash2,
                         The region of equality has ended, and so we have that [first_since_in_equality_range, since) is equal for both Tags
                         Hence, print that for this range we have equal hashes denoted by "=" in each hash column.
 
                 Else:
 
                     The previous hashes were not equal, BUT we must check that ths hashes on this row are not identical...
                     If the hashes on this row are the same as the hashes above (hash1 == previous_payload1 and hash2 == previous_payload2),
                     then we have not found the end of a region of equality!
                     If the hashes have changed, print a row.
 
             """
             if tag.__class__.__name__ != "Tag":
                 raise TypeError("Tag given must be a CondDBFW Tag object.")
 
             # get lists of iovs
             iovs1 = dict(map(lambda iov : (iov.since, iov.payload_hash), self.iovs().data()))
             iovs2 = dict(map(lambda iov : (iov.since, iov.payload_hash), tag.iovs().data()))
 
             iovs = [(x, iovs1.get(x), iovs2.get(x)) for x in sorted(set(iovs1) | set(iovs2))]
             iovs.append(("Infinity", 1, 2))
             table = []
 
             previous_hash1 = None
             previous_hash2 = None
             first_since_in_equality_range = None
             previous_equal = False
 
             for since, hash1, hash2 in iovs:
 
                 if first_since_in_equality_range == None:
                     # if no start of a region of equality has been found,
                     # set it to the first since in the merged list
                     # then set the previous hashes and equality status to the current
                     # and continue to the next iteration of the loop
                     first_since_in_equality_range = since
                     previous_hash1 = hash1
                     previous_hash2 = hash2
                     previous_equal = hash1 == hash2
                     continue
 
                 # if previous_payload1 is also None, comparisons still matters
                 # eg, if hash1 = None and hash2 != None, they are different and so should be shown in the table
                 if hash1 == None:
                     hash1 = previous_hash1
                 if hash2 == None:
                     hash2 = previous_hash2
 
                 if previous_equal:
                     # previous hashes were equal, but only say they were if we have found an end of the region of equality
                     if hash1 != hash2:
                         table.append({"since" : "[%s, %s)" % (first_since_in_equality_range, since), self.name : "=", tag.name : "="})
                         # this is the start of a new equality range - might only be one row if the next row has unequal hashes!
                         first_since_in_equality_range = since
                 else:
                     # if the payloads are not equal, the equality range has ended and we should print a row
                     # we only print if EITHER hash has changed
                     # if both hashes are equal to the previous row, skip to the next row to try to find the beginning
                     # of a region of equality
                     if not(hash1 == previous_hash1 and hash2 == previous_hash2):
                         table.append({"since" : "[%s, %s)" % (first_since_in_equality_range, since), self.name : previous_hash1, tag.name : previous_hash2})
                         first_since_in_equality_range = since
 
                 previous_hash1 = hash1
                 previous_hash2 = hash2
                 previous_equal = hash1 == hash2
 
             final_list = data_sources.json_data_node.make(table)
             return final_list
 
         def merge_into(self, tag, range_object):
             """
             Given another connection, apply the 'merge' algorithm to merge the IOVs from this Tag
             into the IOVs of the other Tag.
 
             tag : CondDBFW Tag object that the IOVs from this Tag should be merged into.
 
             range_object : CondDBFW.data_sources.Range object to describe the subset of IOVs that should be copied
             from the database this Tag belongs to.
 
             Script originally written by Joshua Dawes,
             and adapted by Giacomo Govi, Gianluca Cerminara and Giovanni Franzoni.
             """
 
             oracle_tag = self
             merged_tag_name = oracle_tag.name + "_merged"
 
             #since_range = Range(6285191841738391552,6286157702573850624)
             since_range = range_object
 
             #sqlite = shell.connect("sqlite://EcallaserTag_80X_2016_prompt_corr20160519_2.db")
 
             #sqlite_tag = sqlite.tag().all().data()[0]
             sqlite_tag = tag
             if sqlite_tag == None:
                 raise TypeError("Tag to be merged cannot be None.")
 
             sqlite_iovs = sqlite_tag.iovs().data()
             sqlite_tag.iovs().as_table()
 
             new_tag = self.connection.models["tag"](sqlite_tag.as_dicts(convert_timestamps=False), convert_timestamps=False)
             new_tag.name = merged_tag_name
 
             imported_iovs = oracle_tag.iovs(since=since_range).data()
 
             for i in range(0, len(imported_iovs)):
                 imported_iovs[i].source = "oracle"
 
             sqlite_iovs_sinces=[]
             for i in range(0, len(sqlite_iovs)):
                 sqlite_iovs[i].source = "sqlite"
                 sqlite_iovs_sinces.append(sqlite_iovs[i].since)
 
 
             print(sqlite_iovs_sinces)
 
             new_iovs_list = imported_iovs + sqlite_iovs
             new_iovs_list = sorted(new_iovs_list, key=lambda iov : iov.since)
 
             for (n, iov) in enumerate(new_iovs_list):
                 # if iov is from oracle, change its hash
                 if iov.source == "oracle":
                     if new_iovs_list[n].since in sqlite_iovs_sinces:
                         # if its since is already defined in the target iovs
                         # ignore it
                         iov.source = "tobedeleted"
                     else:
                         # otherwise, iterate down from n to find the last sqlite iov,
                         # and assign that hash
                         for i in reversed(range(0,n)):
                             if new_iovs_list[i].source == "sqlite":
                                 print("change %s to %s at since %d" % (iov.payload_hash, new_iovs_list[i].payload_hash, iov.since))
                                 iov.payload_hash = new_iovs_list[i].payload_hash
                                 break
 
 
             new_iov_list_copied = []
 
             for iov in new_iovs_list:
                 # only append IOVs that are not already defined in the target tag
                 if iov.source != "tobedeleted":
                     new_iov_list_copied.append(iov)
 
             new_iov_list_copied = sorted(new_iov_list_copied, key=lambda iov : iov.since)
 
             now = datetime.datetime.now()
 
             new_iovs = []
             for iov in new_iov_list_copied:
                 new_iovs.append( self.connection.models["iov"](iov.as_dicts(convert_timestamps=False), convert_timestamps=False)  )
             for iov in new_iovs:
                 iov.insertion_time = now
                 iov.tag_name = merged_tag_name
 
             new_tag.iovs_list = new_iovs
 
             return new_tag
             #sqlite.write_and_commit(new_iovs)
 
     classes = {"globaltag" : GlobalTag, "iov" : IOV, "globaltagmap" : GlobalTagMap,\
                 "payload" : Payload, "tag" : Tag, "Base" : Base}
 
     if class_name == None:
         return classes
     else:
return classes[class_name]

def models.session_independent ( objects )

Definition at line 52 of file models.py.

References genParticles_cff.map, and session_independent_object().

 def session_independent(objects):
     if isinstance(objects, list):
         return map(session_independent_object, objects)
     else:
         # assume objects is a single object (not a list)
         return session_independent_object(objects)
 

def models.session_independent_object	(	object,
		schema = `None`
	)

Definition at line 33 of file models.py.

References class_name_to_column(), and generate().

Referenced by session_independent(), and querying.connection.write().

 def session_independent_object(object, schema=None):
     # code original taken from write method in querying
     # will result in a new object that isn't attached to any session
     # hence, SQLAlchemy won't track changes
 
     if object.__class__.__name__.lower() == "payload":
         map_blobs = object.blobs_mapped
     else:
         map_blobs = False
     # need to change this to only generate the required class - can be slow...
     # extract class name of object
     cls = object.__class__
     class_name = class_name_to_column(cls).lower()
     new_class = generate(map_blobs=map_blobs, class_name=class_name)
     new_class.__table__.schema = schema
     new_object = new_class(object.as_dicts(), convert_timestamps=False)
 
     return new_object
 

def models.status_full_name ( status )

Definition at line 73 of file models.py.

Referenced by generate().

 def status_full_name(status):
     full_status = {
         'P': 'Pending',
         'R': 'Rejected',
         'A': 'Accepted'
     }
     return full_status[status]
 

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Functions

Detailed Description

Function Documentation