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Source code for temporal.abstract_space_time_dataset

# -*- coding: utf-8 -*-
"""
The abstract_space_time_dataset module provides the AbstractSpaceTimeDataset
class that is the base class for all space time datasets.

(C) 2011-2013 by the GRASS Development Team
This program is free software under the GNU General Public
License (>=v2). Read the file COPYING that comes with GRASS
for details.

:authors: Soeren Gebbert
"""
from __future__ import print_function
import sys
import uuid
import os
import copy
from datetime import datetime
import gettext
from abc import ABCMeta, abstractmethod
from .core import init_dbif, get_sql_template_path, get_tgis_metadata, get_current_mapset, \
    get_enable_mapset_check
from .abstract_dataset import AbstractDataset, AbstractDatasetComparisonKeyStartTime
from .temporal_granularity import check_granularity_string, compute_absolute_time_granularity,\
    compute_relative_time_granularity
from .spatio_temporal_relationships import count_temporal_topology_relationships, \
    print_spatio_temporal_topology_relationships, SpatioTemporalTopologyBuilder, \
    create_temporal_relation_sql_where_statement
from .datetime_math import increment_datetime_by_string, string_to_datetime

###############################################################################


[docs]class AbstractSpaceTimeDataset(AbstractDataset): """Abstract space time dataset class Base class for all space time datasets. This class represents an abstract space time dataset. Convenient functions to select, update, insert or delete objects of this type in the SQL temporal database exists as well as functions to register or unregister raster maps. Parts of the temporal logic are implemented in the SQL temporal database, like the computation of the temporal and spatial extent as well as the collecting of metadata. """ __metaclass__ = ABCMeta def __init__(self, ident): AbstractDataset.__init__(self) self.reset(ident) self.map_counter = 0
[docs] def create_map_register_name(self): """Create the name of the map register table of this space time dataset A uuid and the map type are used to create the table name ATTENTION: It must be assured that the base object has selected its content from the database. :return: The name of the map register table """ uuid_rand = str(uuid.uuid4()).replace("-", "") table_name = self.get_new_map_instance(None).get_type() + "_map_register_" + uuid_rand return table_name
@abstractmethod
[docs] def get_new_map_instance(self, ident=None): """Return a new instance of a map which is associated with the type of this object :param ident: The unique identifier of the new object """
@abstractmethod
[docs] def get_map_register(self): """Return the name of the map register table :return: The map register table name """
@abstractmethod
[docs] def set_map_register(self, name): """Set the name of the map register table This table stores all map names which are registered in this space time dataset. This method only modifies this object and does not commit the modifications to the temporal database. :param name: The name of the register table """
[docs] def print_self(self): """Print the content of the internal structure to stdout""" self.base.print_self() self.temporal_extent.print_self() self.spatial_extent.print_self() self.metadata.print_self()
[docs] def print_info(self): """Print information about this class in human readable style""" if self.get_type() == "strds": # 1 2 3 4 5 6 7 # 0123456789012345678901234567890123456789012345678901234567890123456789012345678 print(" +-------------------- Space Time Raster Dataset -----------------------------+") if self.get_type() == "str3ds": # 1 2 3 4 5 6 7 # 0123456789012345678901234567890123456789012345678901234567890123456789012345678 print(" +-------------------- Space Time 3D Raster Dataset --------------------------+") if self.get_type() == "stvds": # 1 2 3 4 5 6 7 # 0123456789012345678901234567890123456789012345678901234567890123456789012345678 print(" +-------------------- Space Time Vector Dataset -----------------------------+") print(" | |") self.base.print_info() self.temporal_extent.print_info() self.spatial_extent.print_info() self.metadata.print_info() print(" +----------------------------------------------------------------------------+")
[docs] def print_shell_info(self): """Print information about this class in shell style""" self.base.print_shell_info() self.temporal_extent.print_shell_info() self.spatial_extent.print_shell_info() self.metadata.print_shell_info()
[docs] def print_history(self): """Print history information about this class in human readable shell style """ self.metadata.print_history()
[docs] def set_initial_values(self, temporal_type, semantic_type=None, title=None, description=None): """Set the initial values of the space time dataset In addition the command creation string is generated an inserted into the metadata object. This method only modifies this object and does not commit the modifications to the temporal database. The insert() function must be called to commit this content into the temporal database. :param temporal_type: The temporal type of this space time dataset (absolute or relative) :param semantic_type: The semantic type of this dataset :param title: The title :param description: The description of this dataset """ if temporal_type == "absolute": self.base.set_ttype("absolute") elif temporal_type == "relative": self.base.set_ttype("relative") else: self.msgr.fatal(_("Unknown temporal type \"%s\"") % (temporal_type)) self.base.set_semantic_type(semantic_type) self.metadata.set_title(title) self.metadata.set_description(description) self.metadata.set_command(self.create_command_string())
[docs] def set_aggregation_type(self, aggregation_type): """Set the aggregation type of the space time dataset :param aggregation_type: The aggregation type of the space time dataset """ self.metadata.set_aggregation_type(aggregation_type)
[docs] def update_command_string(self, dbif=None): """Append the current command string to any existing command string in the metadata class and calls metadata update :param dbif: The database interface to be used """ self.metadata.select(dbif=dbif) command = self.metadata.get_command() if command is None: command = "" command += self.create_command_string() self.metadata.set_command(command) self.metadata.update(dbif=dbif)
[docs] def create_command_string(self): """Create the command string that was used to create this space time dataset. The command string should be set with self.metadata.set_command() :return: The command string """ # The grass module command = "# %s \n"%(str(datetime.today().strftime("%Y-%m-%d %H:%M:%S"))) command += os.path.basename(sys.argv[0]) # We will wrap the command line to fit into 80 character length = len(command) for token in sys.argv[1:]: # We need to remove specific characters token = token.replace("\'", " ") token = token.replace("\"", " ") # Check for sub strings if token.find("=") > 0: first = token.split("=")[0] second = "" flag = 0 for t in token.split("=")[1:]: if flag == 0: second += t flag = 1 else: second += "=" + t token = "%s=\"%s\"" % (first, second) if length + len(token) >= 76: command += "\n %s" % (token) length = len(token) + 4 else: command += " %s" % (token) length += len(token) + 1 command += "\n" return str(command)
[docs] def get_semantic_type(self): """Return the semantic type of this dataset :return: The semantic type """ return self.base.get_semantic_type()
[docs] def get_initial_values(self): """Return the initial values: temporal_type, semantic_type, title, description""" temporal_type = self.get_temporal_type() semantic_type = self.base.get_semantic_type() title = self.metadata.get_title() description = self.metadata.get_description() return temporal_type, semantic_type, title, description
[docs] def get_granularity(self): """Return the granularity of the space time dataset Granularity can be of absolute time or relative time. In case of absolute time a string containing an integer value and the time unit (years, months, days, hours, minuts, seconds). In case of relative time an integer value is expected. :return: The granularity """ return self.temporal_extent.get_granularity()
[docs] def set_granularity(self, granularity): """Set the granularity The granularity is usually computed by the space time dataset at runtime. Granularity can be of absolute time or relative time. In case of absolute time a string containing an integer value and the time unit (years, months, days, hours, minuts, seconds). In case of relative time an integer value is expected. This method only modifies this object and does not commit the modifications to the temporal database. :param granularity: The granularity of the dataset """ temporal_type = self.get_temporal_type() check = check_granularity_string(granularity, temporal_type) if not check: self.msgr.fatal(_("Wrong granularity: \"%s\"") % str(granularity)) if temporal_type == "absolute": self.base.set_ttype("absolute") elif temporal_type == "relative": self.base.set_ttype("relative") else: self.msgr.fatal(_("Unknown temporal type \"%s\"") % (temporal_type)) self.temporal_extent.set_granularity(granularity)
[docs] def set_relative_time_unit(self, unit): """Set the relative time unit which may be of type: years, months, days, hours, minutes or seconds All maps registered in a (relative time) space time dataset must have the same unit This method only modifies this object and does not commit the modifications to the temporal database. :param unit: The relative time unit """ temporal_type = self.get_temporal_type() if temporal_type == "relative": if not self.check_relative_time_unit(unit): self.msgr.fatal(_("Unsupported temporal unit: %s") % (unit)) self.relative_time.set_unit(unit)
[docs] def insert(self, dbif=None, execute=True): """Insert the space time dataset content into the database from the internal structure The map register table will be created, so that maps can be registered. :param dbif: The database interface to be used :param execute: If True the SQL statements will be executed. If False the prepared SQL statements are returned and must be executed by the caller. :return: The SQL insert statement in case execute=False, or an empty string otherwise """ dbif, connected = init_dbif(dbif) # We need to create the register table if it does not exist stds_register_table = self.get_map_register() # Create the map register table sql_path = get_sql_template_path() statement = "" # We need to create the map register table if stds_register_table is None: # Create table name stds_register_table = self.create_map_register_name() # Assure that the table and index do not exist #dbif.execute_transaction("DROP INDEX IF EXISTS %s; DROP TABLE IF EXISTS %s;"%(stds_register_table + "_index", stds_register_table)) # Read the SQL template sql = open(os.path.join(sql_path, "stds_map_register_table_template.sql"), 'r').read() # Create a raster, raster3d or vector tables sql = sql.replace("SPACETIME_REGISTER_TABLE", stds_register_table) statement += sql if dbif.get_dbmi().__name__ == "sqlite3": statement += "CREATE INDEX %s_index ON %s (id);" % \ (stds_register_table, stds_register_table) # Set the map register table name self.set_map_register(stds_register_table) self.msgr.debug(1, _("Created register table <%s> for space " "time %s dataset <%s>") % (stds_register_table, self.get_new_map_instance(None).get_type(), self.get_id())) statement += AbstractDataset.insert(self, dbif=dbif, execute=False) if execute: dbif.execute_transaction(statement) statement = "" if connected: dbif.close() return statement
[docs] def get_map_time(self): """Return the type of the map time, interval, point, mixed or invalid """ return self.temporal_extent.get_map_time()
[docs] def count_temporal_types(self, maps=None, dbif=None): """Return the temporal type of the registered maps as dictionary The map list must be ordered by start time The temporal type can be: - point -> only the start time is present - interval -> start and end time - invalid -> No valid time point or interval found :param maps: A sorted (start_time) list of AbstractDataset objects :param dbif: The database interface to be used """ if maps is None: maps = self.get_registered_maps_as_objects( where=None, order="start_time", dbif=dbif) time_invalid = 0 time_point = 0 time_interval = 0 tcount = {} for i in range(len(maps)): # Check for point and interval data if maps[i].is_time_absolute(): start, end = maps[i].get_absolute_time() if maps[i].is_time_relative(): start, end, unit = maps[i].get_relative_time() if start is not None and end is not None: time_interval += 1 elif start is not None and end is None: time_point += 1 else: time_invalid += 1 tcount["point"] = time_point tcount["interval"] = time_interval tcount["invalid"] = time_invalid return tcount
[docs] def count_gaps(self, maps=None, dbif=None): """Count the number of gaps between temporal neighbors :param maps: A sorted (start_time) list of AbstractDataset objects :param dbif: The database interface to be used :return: The numbers of gaps between temporal neighbors """ if maps is None: maps = self.get_registered_maps_as_objects( where=None, order="start_time", dbif=dbif) gaps = 0 # Check for gaps for i in range(len(maps)): if i < len(maps) - 1: relation = maps[i + 1].temporal_relation(maps[i]) if relation == "after": gaps += 1 return gaps
[docs] def print_spatio_temporal_relationships(self, maps=None, spatial=None, dbif=None): """Print the spatio-temporal relationships for each map of the space time dataset or for each map of the optional list of maps :param maps: a ordered by start_time list of map objects, if None the registered maps of the space time dataset are used :param spatial: This indicates if the spatial topology is created as well: spatial can be None (no spatial topology), "2D" using west, east, south, north or "3D" using west, east, south, north, bottom, top :param dbif: The database interface to be used """ if maps is None: maps = self.get_registered_maps_as_objects( where=None, order="start_time", dbif=dbif) print_spatio_temporal_topology_relationships(maps1=maps, maps2=maps, spatial=spatial, dbif=dbif)
[docs] def count_temporal_relations(self, maps=None, dbif=None): """Count the temporal relations between the registered maps. The map list must be ordered by start time. Temporal relations are counted by analysing the sparse upper right side temporal relationships matrix. :param maps: A sorted (start_time) list of AbstractDataset objects :param dbif: The database interface to be used :return: A dictionary with counted temporal relationships """ if maps is None: maps = self.get_registered_maps_as_objects( where=None, order="start_time", dbif=dbif) return count_temporal_topology_relationships(maps1=maps, dbif=dbif)
[docs] def check_temporal_topology(self, maps=None, dbif=None): """Check the temporal topology of all maps of the current space time dataset or of an optional list of maps Correct topology means, that time intervals are not overlap or that intervals does not contain other intervals. Equal time intervals are not allowed. The optional map list must be ordered by start time Allowed and not allowed temporal relationships for correct topology: - after -> allowed - precedes -> allowed - follows -> allowed - precedes -> allowed - equal -> not allowed - during -> not allowed - contains -> not allowed - overlaps -> not allowed - overlapped -> not allowed - starts -> not allowed - finishes -> not allowed - started -> not allowed - finished -> not allowed :param maps: An optional list of AbstractDataset objects, in case of None all maps of the space time dataset are checked :param dbif: The database interface to be used :return: True if topology is correct """ if maps is None: maps = self.get_registered_maps_as_objects( where=None, order="start_time", dbif=dbif) relations = count_temporal_topology_relationships(maps1=maps, dbif=dbif) if relations is None: return False map_time = self.get_map_time() if map_time == "interval" or map_time == "mixed": if "equal" in relations and relations["equal"] > 0: return False if "during" in relations and relations["during"] > 0: return False if "contains" in relations and relations["contains"] > 0: return False if "overlaps" in relations and relations["overlaps"] > 0: return False if "overlapped" in relations and relations["overlapped"] > 0: return False if "starts" in relations and relations["starts"] > 0: return False if "finishes" in relations and relations["finishes"] > 0: return False if "started" in relations and relations["started"] > 0: return False if "finished" in relations and relations["finished"] > 0: return False elif map_time == "point": if "equal" in relations and relations["equal"] > 0: return False else: return False return True
[docs] def sample_by_dataset(self, stds, method=None, spatial=False, dbif=None): """Sample this space time dataset with the temporal topology of a second space time dataset In case spatial is True, the spatial overlap between temporal related maps is performed. Only temporal related and spatial overlapping maps are returned. Return all registered maps as ordered (by start_time) object list. Each list entry is a list of map objects which are potentially located in temporal relation to the actual granule of the second space time dataset. Each entry in the object list is a dict. The actual sampler map and its temporal extent (the actual granule) and the list of samples are stored: .. code-block:: python list = self.sample_by_dataset(stds=sampler, method=[ "during","overlap","contains","equal"]) for entry in list: granule = entry["granule"] maplist = entry["samples"] for map in maplist: map.select() map.print_info() A valid temporal topology (no overlapping or inclusion allowed) is needed to get correct results in case of gaps in the sample dataset. Gaps between maps are identified as unregistered maps with id==None. The objects are initialized with their id's' and the spatio-temporal extent (temporal type, start time, end time, west, east, south, north, bottom and top). In case more map information are needed, use the select() method for each listed object. :param stds: The space time dataset to be used for temporal sampling :param method: This option specifies what sample method should be used. In case the registered maps are of temporal point type, only the start time is used for sampling. In case of mixed of interval data the user can chose between: - Example ["start", "during", "equals"] - start: Select maps of which the start time is located in the selection granule:: map : s granule: s-----------------e map : s--------------------e granule: s-----------------e map : s--------e granule: s-----------------e - contains: Select maps which are temporal during the selection granule:: map : s-----------e granule: s-----------------e - overlap: Select maps which temporal overlap the selection granule, this includes overlaps and overlapped:: map : s-----------e granule: s-----------------e map : s-----------e granule: s----------e - during: Select maps which temporally contains the selection granule:: map : s-----------------e granule: s-----------e - equals: Select maps which temporally equal to the selection granule:: map : s-----------e granule: s-----------e - follows: Select maps which temporally follow the selection granule:: map : s-----------e granule: s-----------e - precedes: Select maps which temporally precedes the selection granule:: map : s-----------e granule: s-----------e All these methods can be combined. Method must be of type tuple including the identification strings. :param spatial: If set True additional the 2d spatial overlapping is used for selection -> spatio-temporal relation. The returned map objects will have temporal and spatial extents :param dbif: The database interface to be used :return: A list of lists of map objects or None in case nothing was found None """ if self.get_temporal_type() != stds.get_temporal_type(): self.msgr.error(_("The space time datasets must be of " "the same temporal type")) return None if stds.get_map_time() != "interval": self.msgr.error(_("The temporal map type of the sample " "dataset must be interval")) return None dbif, connected = init_dbif(dbif) relations = copy.deepcopy(method) # Tune the temporal relations if "start" in relations: if "overlapped" not in relations: relations.append("overlapped") if "starts" not in relations: relations.append("starts") if "started" not in relations: relations.append("started") if "finishes" not in relations: relations.append("finishes") if "contains" not in relations: relations.append("contains") if "equals" not in relations: relations.append("equals") if "overlap" in relations or "over" in relations: if "overlapped" not in relations: relations.append("overlapped") if "overlaps" not in relations: relations.append("overlaps") if "contain" in relations: if "contains" not in relations: relations.append("contains") # Remove start, equal, contain and overlap relations = [relation.upper().strip() for relation in relations if relation not in ["start", "overlap", "contain"]] # print(relations) tb = SpatioTemporalTopologyBuilder() if spatial: spatial = "2D" else: spatial = None mapsA = self.get_registered_maps_as_objects(dbif=dbif) mapsB = stds.get_registered_maps_as_objects_with_gaps(dbif=dbif) tb.build(mapsB, mapsA, spatial) obj_list = [] for map in mapsB: result = {} maplist = [] # Get map relations map_relations = map.get_temporal_relations() #print(map.get_temporal_extent_as_tuple()) #for key in map_relations.keys(): # if key not in ["NEXT", "PREV"]: # print(key, map_relations[key][0].get_temporal_extent_as_tuple()) result["granule"] = map # Append the maps that fulfill the relations for relation in relations: if relation in map_relations.keys(): for sample_map in map_relations[relation]: if sample_map not in maplist: maplist.append(sample_map) # Add an empty map if no map was found if not maplist: empty_map = self.get_new_map_instance(None) empty_map.set_spatial_extent(map.get_spatial_extent()) empty_map.set_temporal_extent(map.get_temporal_extent()) maplist.append(empty_map) result["samples"] = maplist obj_list.append(result) if connected: dbif.close() return obj_list
[docs] def sample_by_dataset_sql(self, stds, method=None, spatial=False, dbif=None): """Sample this space time dataset with the temporal topology of a second space time dataset using SQL queries. This function is very slow for huge large space time datasets but can run several times in the same process without problems. The sample dataset must have "interval" as temporal map type, so all sample maps have valid interval time. In case spatial is True, the spatial overlap between temporal related maps is performed. Only temporal related and spatial overlapping maps are returned. Return all registered maps as ordered (by start_time) object list with "gap" map objects (id==None). Each list entry is a list of map objects which are potentially located in temporal relation to the actual granule of the second space time dataset. Each entry in the object list is a dict. The actual sampler map and its temporal extent (the actual granule) and the list of samples are stored: .. code-block:: python list = self.sample_by_dataset(stds=sampler, method=[ "during","overlap","contain","equal"]) for entry in list: granule = entry["granule"] maplist = entry["samples"] for map in maplist: map.select() map.print_info() A valid temporal topology (no overlapping or inclusion allowed) is needed to get correct results in case of gaps in the sample dataset. Gaps between maps are identified as unregistered maps with id==None. The objects are initialized with their id's' and the spatio-temporal extent (temporal type, start time, end time, west, east, south, north, bottom and top). In case more map information are needed, use the select() method for each listed object. :param stds: The space time dataset to be used for temporal sampling :param method: This option specifies what sample method should be used. In case the registered maps are of temporal point type, only the start time is used for sampling. In case of mixed of interval data the user can chose between: - Example ["start", "during", "equals"] - start: Select maps of which the start time is located in the selection granule:: map : s granule: s-----------------e map : s--------------------e granule: s-----------------e map : s--------e granule: s-----------------e - contains: Select maps which are temporal during the selection granule:: map : s-----------e granule: s-----------------e - overlap: Select maps which temporal overlap the selection granule, this includes overlaps and overlapped:: map : s-----------e granule: s-----------------e map : s-----------e granule: s----------e - during: Select maps which temporally contains the selection granule:: map : s-----------------e granule: s-----------e - equals: Select maps which temporally equal to the selection granule:: map : s-----------e granule: s-----------e - follows: Select maps which temporally follow the selection granule:: map : s-----------e granule: s-----------e - precedes: Select maps which temporally precedes the selection granule:: map : s-----------e granule: s-----------e All these methods can be combined. Method must be of type tuple including the identification strings. :param spatial: If set True additional the 2d spatial overlapping is used for selection -> spatio-temporal relation. The returned map objects will have temporal and spatial extents :param dbif: The database interface to be used :return: A list of lists of map objects or None in case nothing was found None """ use_start = False use_during = False use_overlap = False use_contain = False use_equal = False use_follows = False use_precedes = False # Initialize the methods if method is not None: for name in method: if name == "start": use_start = True if name == "during": use_during = True if name == "overlap": use_overlap = True if name == "contain" or name == "contains": use_contain = True if name == "equal" or name == "equals": use_equal = True if name == "follows": use_follows = True if name == "precedes": use_precedes = True else: use_during = True use_overlap = True use_contain = True use_equal = True if self.get_temporal_type() != stds.get_temporal_type(): self.msgr.error(_("The space time datasets must be of " "the same temporal type")) return None if stds.get_map_time() != "interval": self.msgr.error(_("The temporal map type of the sample " "dataset must be interval")) return None # In case points of time are available, disable the interval specific # methods if self.get_map_time() == "point": use_start = True use_during = False use_overlap = False use_contain = False use_equal = False use_follows = False use_precedes = False dbif, connected = init_dbif(dbif) obj_list = [] sample_maps = stds.get_registered_maps_as_objects_with_gaps( where=None, dbif=dbif) for granule in sample_maps: # Read the spatial extent if spatial: granule.spatial_extent.select(dbif) start, end = granule.get_temporal_extent_as_tuple() where = create_temporal_relation_sql_where_statement( start, end, use_start, use_during, use_overlap, use_contain, use_equal, use_follows, use_precedes) maps = self.get_registered_maps_as_objects( where, "start_time", dbif) result = {} result["granule"] = granule num_samples = 0 maplist = [] if maps is not None: for map in maps: # Read the spatial extent if spatial: map.spatial_extent.select(dbif) # Ignore spatial disjoint maps if not granule.spatial_overlapping(map): continue num_samples += 1 maplist.append(copy.copy(map)) # Fill with empty map in case no spatio-temporal relations found if maps is None or num_samples == 0: map = self.get_new_map_instance(None) if self.is_time_absolute(): map.set_absolute_time(start, end) elif self.is_time_relative(): map.set_relative_time(start, end, self.get_relative_time_unit()) maplist.append(copy.copy(map)) result["samples"] = maplist obj_list.append(copy.copy(result)) if connected: dbif.close() return obj_list
[docs] def get_registered_maps_as_objects_by_granularity(self, gran=None, dbif=None): """Return all registered maps as ordered (by start_time) object list with "gap" map objects (id==None) for spatio-temporal topological operations that require the temporal extent only. Each list entry is a list of AbstractMapDatasets objects which are potentially equal the actual granule, contain the actual granule or are located in the actual granule. Hence for each granule a list of AbstractMapDatasets can be expected. Maps that overlap the granule are ignored. The granularity of the space time dataset is used as increment in case the granule is not user defined. A valid temporal topology (no overlapping or inclusion allowed) is needed to get correct results. Space time datasets with interval time, time instances and mixed time are supported. Gaps between maps are identified as unregistered maps with id==None. The objects are initialized with their id's' and the spatio-temporal extent (temporal type, start time, end time, west, east, south, north, bottom and top). In case more map information are needed, use the select() method for each listed object. :param gran: The granularity string to be used, if None the granularity of the space time dataset is used. Absolute time has the format "number unit", relative time has the format "number". The unit in case of absolute time can be one of "second, seconds, minute, minutes, hour, hours, day, days, week, weeks, month, months, year, years". The unit of the relative time granule is always the space time dataset unit and can not be changed. :param dbif: The database interface to be used :return: ordered list of map lists. Each list represents a single granule, or None in case nothing found """ dbif, connected = init_dbif(dbif) if gran is None: gran = self.get_granularity() check = check_granularity_string(gran, self.get_temporal_type()) if not check: self.msgr.fatal(_("Wrong granularity: \"%s\"") % str(gran)) start, end = self.get_temporal_extent_as_tuple() if start is None or end is None: return None maps = self.get_registered_maps_as_objects(dbif=dbif, order="start_time") if not maps: return None # We need to adjust the end time in case the the dataset has no # interval time, so we can catch time instances at the end if self.get_map_time() != "interval": if self.is_time_absolute(): end = increment_datetime_by_string(end, gran) else: end = end + gran l = AbstractSpaceTimeDataset.resample_maplist_by_granularity(maps, start, end, gran) if connected: dbif.close() return l
@staticmethod
[docs] def resample_maplist_by_granularity(maps, start, end, gran): """Resample a list of AbstractMapDatasets by a given granularity The provided map list must be sorted by start time. A valid temporal topology (no overlapping or inclusion allowed) is needed to receive correct results. Maps with interval time, time instances and mixed time are supported. The temporal topology search order is as follows: 1. Maps that are equal to the actual granule are used 2. If no euqal found then maps that contain the actual granule are used 3. If no maps are found that contain the actual granule then maps are used that overlaps the actual granule 4. If no overlaps maps found then overlapped maps are used 5. If no overlapped maps are found then maps are used that are durin the actual granule Each entry in the resulting list is a list of AbstractMapDatasets objects. Hence for each granule a list of AbstractMapDatasets can be expected. Gaps between maps are identified as unregistered maps with id==None. :param maps: An ordered list (by start time) of AbstractMapDatasets objects. All maps must have the same temporal type and the same unit in case of relative time. :param start: The start time of the provided map list :param end: The end time of the provided map list :param gran: The granularity string to be used, if None the granularity of the space time dataset is used. Absolute time has the format "number unit", relative time has the format "number". The unit in case of absolute time can be one of "second, seconds, minute, minutes, hour, hours, day, days, week, weeks, month, months, year, years". The unit of the relative time granule is always the space time dataset unit and can not be changed. :return: ordered list of map lists. Each list represents a single granule, or None in case nothing found Usage: .. code-block:: python >>> import grass.temporal as tgis >>> maps = [] >>> for i in xrange(3): ... map = tgis.RasterDataset("map%i@PERMANENT"%i) ... check = map.set_relative_time(i + 2, i + 3, "days") ... maps.append(map) >>> grans = tgis.AbstractSpaceTimeDataset.resample_maplist_by_granularity(maps,0,8,1) >>> for map_list in grans: ... print(map_list[0].get_id(), map_list[0].get_temporal_extent_as_tuple()) None (0, 1) None (1, 2) map0@PERMANENT (2, 3) map1@PERMANENT (3, 4) map2@PERMANENT (4, 5) None (5, 6) None (6, 7) None (7, 8) >>> maps = [] >>> map1 = tgis.RasterDataset("map1@PERMANENT") >>> check = map1.set_relative_time(2, 6, "days") >>> maps.append(map1) >>> map2 = tgis.RasterDataset("map2@PERMANENT") >>> check = map2.set_relative_time(7, 13, "days") >>> maps.append(map2) >>> grans = tgis.AbstractSpaceTimeDataset.resample_maplist_by_granularity(maps,0,16,2) >>> for map_list in grans: ... print(map_list[0].get_id(), map_list[0].get_temporal_extent_as_tuple()) None (0, 2) map1@PERMANENT (2, 4) map1@PERMANENT (4, 6) map2@PERMANENT (6, 8) map2@PERMANENT (8, 10) map2@PERMANENT (10, 12) map2@PERMANENT (12, 14) None (14, 16) >>> maps = [] >>> map1 = tgis.RasterDataset("map1@PERMANENT") >>> check = map1.set_relative_time(2, None, "days") >>> maps.append(map1) >>> map2 = tgis.RasterDataset("map2@PERMANENT") >>> check = map2.set_relative_time(7, None, "days") >>> maps.append(map2) >>> grans = tgis.AbstractSpaceTimeDataset.resample_maplist_by_granularity(maps,0,16,2) >>> for map_list in grans: ... print(map_list[0].get_id(), map_list[0].get_temporal_extent_as_tuple()) None (0, 2) map1@PERMANENT (2, 4) None (4, 6) map2@PERMANENT (6, 8) None (8, 10) None (10, 12) None (12, 14) None (14, 16) >>> maps = [] >>> map1 = tgis.RasterDataset("map1@PERMANENT") >>> check = map1.set_absolute_time(datetime(2000, 4,1), datetime(2000, 6, 1)) >>> maps.append(map1) >>> map2 = tgis.RasterDataset("map2@PERMANENT") >>> check = map2.set_absolute_time(datetime(2000, 8,1), datetime(2000, 12, 1)) >>> maps.append(map2) >>> grans = tgis.AbstractSpaceTimeDataset.resample_maplist_by_granularity(maps,datetime(2000,1,1),datetime(2001,4,1),"1 month") >>> for map_list in grans: ... print(map_list[0].get_id(), map_list[0].get_temporal_extent_as_tuple()) None (datetime.datetime(2000, 1, 1, 0, 0), datetime.datetime(2000, 2, 1, 0, 0)) None (datetime.datetime(2000, 2, 1, 0, 0), datetime.datetime(2000, 3, 1, 0, 0)) None (datetime.datetime(2000, 3, 1, 0, 0), datetime.datetime(2000, 4, 1, 0, 0)) map1@PERMANENT (datetime.datetime(2000, 4, 1, 0, 0), datetime.datetime(2000, 5, 1, 0, 0)) map1@PERMANENT (datetime.datetime(2000, 5, 1, 0, 0), datetime.datetime(2000, 6, 1, 0, 0)) None (datetime.datetime(2000, 6, 1, 0, 0), datetime.datetime(2000, 7, 1, 0, 0)) None (datetime.datetime(2000, 7, 1, 0, 0), datetime.datetime(2000, 8, 1, 0, 0)) map2@PERMANENT (datetime.datetime(2000, 8, 1, 0, 0), datetime.datetime(2000, 9, 1, 0, 0)) map2@PERMANENT (datetime.datetime(2000, 9, 1, 0, 0), datetime.datetime(2000, 10, 1, 0, 0)) map2@PERMANENT (datetime.datetime(2000, 10, 1, 0, 0), datetime.datetime(2000, 11, 1, 0, 0)) map2@PERMANENT (datetime.datetime(2000, 11, 1, 0, 0), datetime.datetime(2000, 12, 1, 0, 0)) None (datetime.datetime(2000, 12, 1, 0, 0), datetime.datetime(2001, 1, 1, 0, 0)) None (datetime.datetime(2001, 1, 1, 0, 0), datetime.datetime(2001, 2, 1, 0, 0)) None (datetime.datetime(2001, 2, 1, 0, 0), datetime.datetime(2001, 3, 1, 0, 0)) None (datetime.datetime(2001, 3, 1, 0, 0), datetime.datetime(2001, 4, 1, 0, 0)) """ if not maps: return None first = maps[0] # Build the gaplist gap_list = [] while start < end: if first.is_time_absolute(): next = increment_datetime_by_string(start, gran) else: next = start + gran map = first.get_new_instance(None) map.set_spatial_extent_from_values(0, 0, 0, 0, 0, 0) if first.is_time_absolute(): map.set_absolute_time(start, next) else: map.set_relative_time(start, next, first.get_relative_time_unit()) gap_list.append(copy.copy(map)) start = next tb = SpatioTemporalTopologyBuilder() tb.build(gap_list, maps) relations_order = ["EQUAL", "DURING", "OVERLAPS", "OVERLAPPED", "CONTAINS"] gran_list = [] for gap in gap_list: # If not temporal relations then gap if not gap.get_temporal_relations(): gran_list.append([gap, ]) else: relations = gap.get_temporal_relations() map_list = [] for relation in relations_order: if relation in relations: map_list += relations[relation] break if map_list: new_maps = [] for map in map_list: new_map = map.get_new_instance(map.get_id()) new_map.set_temporal_extent(gap.get_temporal_extent()) new_map.set_spatial_extent(map.get_spatial_extent()) new_maps.append(new_map) gran_list.append(new_maps) else: gran_list.append([gap, ]) if gran_list: return gran_list return None
[docs] def get_registered_maps_as_objects_with_gaps(self, where=None, dbif=None): """Return all or a subset of the registered maps as ordered (by start_time) object list with "gap" map objects (id==None) for spatio-temporal topological operations that require the spatio-temporal extent only. Gaps between maps are identified as maps with id==None The objects are initialized with their id's' and the spatio-temporal extent (temporal type, start time, end time, west, east, south, north, bottom and top). In case more map information are needed, use the select() method for each listed object. :param where: The SQL where statement to select a subset of the registered maps without "WHERE" :param dbif: The database interface to be used :return: ordered object list, in case nothing found None is returned """ dbif, connected = init_dbif(dbif) obj_list = [] maps = self.get_registered_maps_as_objects(where, "start_time", dbif) if maps is not None and len(maps) > 0: for i in range(len(maps)): obj_list.append(maps[i]) # Detect and insert gaps if i < len(maps) - 1: relation = maps[i + 1].temporal_relation(maps[i]) if relation == "after": start1, end1 = maps[i].get_temporal_extent_as_tuple() start2, end2 = maps[i + 1].get_temporal_extent_as_tuple() end = start2 if end1 is not None: start = end1 else: start = start1 map = self.get_new_map_instance(None) if self.is_time_absolute(): map.set_absolute_time(start, end) elif self.is_time_relative(): map.set_relative_time(start, end, self.get_relative_time_unit()) map.set_spatial_extent_from_values(0, 0, 0, 0, 0, 0) obj_list.append(copy.copy(map)) if connected: dbif.close() return obj_list
[docs] def get_registered_maps_as_objects_with_temporal_topology(self, where=None, order="start_time", dbif=None): """Return all or a subset of the registered maps as ordered object list with spatio-temporal topological relationship information. The objects are initialized with their id's' and the spatio-temporal extent (temporal type, start time, end time, west, east, south, north, bottom and top). In case more map information are needed, use the select() method for each listed object. :param where: The SQL where statement to select a subset of the registered maps without "WHERE" :param order: The SQL order statement to be used to order the objects in the list without "ORDER BY" :param dbif: The database interface to be used :return: The ordered map object list, In case nothing found None is returned """ dbif, connected = init_dbif(dbif) obj_list = self.get_registered_maps_as_objects(where, order, dbif) tb = SpatioTemporalTopologyBuilder() tb.build(obj_list) if connected: dbif.close() return obj_list
[docs] def get_registered_maps_as_objects(self, where=None, order="start_time", dbif=None): """Return all or a subset of the registered maps as ordered object list for spatio-temporal topological operations that require the spatio-temporal extent only The objects are initialized with their id's' and the spatio-temporal extent (temporal type, start time, end time, west, east, south, north, bottom and top). In case more map information are needed, use the select() method for each listed object. :param where: The SQL where statement to select a subset of the registered maps without "WHERE" :param order: The SQL order statement to be used to order the objects in the list without "ORDER BY" :param dbif: The database interface to be used :return: The ordered map object list, In case nothing found None is returned """ dbif, connected = init_dbif(dbif) obj_list = [] # Older temporal databases have no bottom and top columns # in their views so we need a work around to set the full # spatial extent as well rows = get_tgis_metadata(dbif) db_version = 0 if rows: for row in rows: if row["key"] == "tgis_db_version": db_version = int(float(row["value"])) if db_version >= 1: has_bt_columns = True columns = "id,start_time,end_time, west,east,south,north,bottom,top" else: has_bt_columns = False columns = "id,start_time,end_time, west,east,south,north" rows = self.get_registered_maps(columns, where, order, dbif) if rows is not None: for row in rows: map = self.get_new_map_instance(row["id"]) if self.is_time_absolute(): map.set_absolute_time(row["start_time"], row["end_time"]) elif self.is_time_relative(): map.set_relative_time(row["start_time"], row["end_time"], self.get_relative_time_unit()) # The fast way if has_bt_columns: map.set_spatial_extent_from_values(west=row["west"], east=row["east"], south=row["south"], top=row["top"], north=row["north"], bottom=row["bottom"]) # The slow work around else: map.spatial_extent.select(dbif) obj_list.append(copy.copy(map)) if connected: dbif.close() return obj_list
[docs] def get_registered_maps(self, columns=None, where=None, order=None, dbif=None): """Return SQL rows of all registered maps. In case columns are not specified, each row includes all columns specified in the datatype specific view. :param columns: Columns to be selected as SQL compliant string :param where: The SQL where statement to select a subset of the registered maps without "WHERE" :param order: The SQL order statement to be used to order the objects in the list without "ORDER BY" :param dbif: The database interface to be used :return: SQL rows of all registered maps, In case nothing found None is returned """ dbif, connected = init_dbif(dbif) rows = None if self.get_map_register() is not None: # Use the correct temporal table if self.get_temporal_type() == "absolute": map_view = self.get_new_map_instance( None).get_type() + "_view_abs_time" else: map_view = self.get_new_map_instance( None).get_type() + "_view_rel_time" if columns is not None and columns != "": sql = "SELECT %s FROM %s WHERE %s.id IN (SELECT id FROM %s)" %\ (columns, map_view, map_view, self.get_map_register()) else: sql = "SELECT * FROM %s WHERE %s.id IN (SELECT id FROM %s)" % \ (map_view, map_view, self.get_map_register()) if where is not None and where != "": sql += " AND (%s)" % (where.split(";")[0]) if order is not None and order != "": sql += " ORDER BY %s" % (order.split(";")[0]) try: dbif.execute(sql, mapset=self.base.mapset) rows = dbif.fetchall(mapset=self.base.mapset) except: if connected: dbif.close() self.msgr.error(_("Unable to get map ids from register table " "<%s>") % (self.get_map_register())) raise if connected: dbif.close() return rows
@staticmethod
[docs] def shift_map_list(maps, gran): """Temporally shift each map in the list with the provided granularity This method does not perform any temporal database operations. :param maps: A list of maps with initialized temporal extent :param gran: The granularity to be used for shifting :return: The modified map list, None if nothing to shift or wrong granularity .. code-block:: python >>> import grass.temporal as tgis >>> maps = [] >>> for i in range(5): ... map = tgis.RasterDataset(None) ... if i%2 == 0: ... check = map.set_relative_time(i, i + 1, 'years') ... else: ... check = map.set_relative_time(i, None, 'years') ... maps.append(map) >>> for map in maps: ... map.temporal_extent.print_info() +-------------------- Relative time -----------------------------------------+ | Start time:................. 0 | End time:................... 1 | Relative time unit:......... years +-------------------- Relative time -----------------------------------------+ | Start time:................. 1 | End time:................... None | Relative time unit:......... years +-------------------- Relative time -----------------------------------------+ | Start time:................. 2 | End time:................... 3 | Relative time unit:......... years +-------------------- Relative time -----------------------------------------+ | Start time:................. 3 | End time:................... None | Relative time unit:......... years +-------------------- Relative time -----------------------------------------+ | Start time:................. 4 | End time:................... 5 | Relative time unit:......... years >>> maps = tgis.AbstractSpaceTimeDataset.shift_map_list(maps, 5) >>> for map in maps: ... map.temporal_extent.print_info() +-------------------- Relative time -----------------------------------------+ | Start time:................. 5 | End time:................... 6 | Relative time unit:......... years +-------------------- Relative time -----------------------------------------+ | Start time:................. 6 | End time:................... None | Relative time unit:......... years +-------------------- Relative time -----------------------------------------+ | Start time:................. 7 | End time:................... 8 | Relative time unit:......... years +-------------------- Relative time -----------------------------------------+ | Start time:................. 8 | End time:................... None | Relative time unit:......... years +-------------------- Relative time -----------------------------------------+ | Start time:................. 9 | End time:................... 10 | Relative time unit:......... years """ if maps is None: return None if not check_granularity_string(gran, maps[-1].get_temporal_type()): return None for map in maps: start, end = map.get_temporal_extent_as_tuple() if map.is_time_absolute(): start = increment_datetime_by_string(start, gran) if end is not None: end = increment_datetime_by_string(end, gran) map.set_absolute_time(start, end) elif map.is_time_relative(): start = start + int(gran) if end is not None: end = end + int(gran) map.set_relative_time(start, end, map.get_relative_time_unit()) return maps
[docs] def shift(self, gran, dbif=None): """Temporally shift each registered map with the provided granularity :param gran: The granularity to be used for shifting :param dbif: The database interface to be used :return: True something to shift, False if nothing to shift or wrong granularity """ if get_enable_mapset_check() is True and \ self.get_mapset() != get_current_mapset(): self.msgr.fatal(_("Unable to shift dataset <%(ds)s> of type " "%(type)s in the temporal database. The mapset " "of the dataset does not match the current " "mapset") % ({"ds": self.get_id()}, {"type": self.get_type()})) if not check_granularity_string(gran, self.get_temporal_type()): self.msgr.error(_("Wrong granularity format: %s" % (gran))) return False dbif, connected = init_dbif(dbif) maps = self.get_registered_maps_as_objects(dbif=dbif) if maps is None: return False date_list = [] # We need to make a dry run to avoid a break # in the middle of the update process when the increment # results in wrong number of days in a month for map in maps: start, end = map.get_temporal_extent_as_tuple() if self.is_time_absolute(): start = increment_datetime_by_string(start, gran) if end is not None: end = increment_datetime_by_string(end, gran) elif self.is_time_relative(): start = start + int(gran) if end is not None: end = end + int(gran) date_list.append((start, end)) self. _update_map_timestamps(maps, date_list, dbif) if connected: dbif.close()
@staticmethod
[docs] def snap_map_list(maps): """For each map in the list snap the end time to the start time of its temporal nearest neighbor in the future. Maps with equal time stamps are not snapped. The granularity of the map list will be used to create the end time of the last map in case it has a time instance as timestamp. This method does not perform any temporal database operations. :param maps: A list of maps with initialized temporal extent :return: The modified map list, None nothing to shift or wrong granularity Usage: .. code-block:: python >>> import grass.temporal as tgis >>> maps = [] >>> for i in range(5): ... map = tgis.RasterDataset(None) ... if i%2 == 0: ... check = map.set_relative_time(i, i + 1, 'years') ... else: ... check = map.set_relative_time(i, None, 'years') ... maps.append(map) >>> for map in maps: ... map.temporal_extent.print_info() +-------------------- Relative time -----------------------------------------+ | Start time:................. 0 | End time:................... 1 | Relative time unit:......... years +-------------------- Relative time -----------------------------------------+ | Start time:................. 1 | End time:................... None | Relative time unit:......... years +-------------------- Relative time -----------------------------------------+ | Start time:................. 2 | End time:................... 3 | Relative time unit:......... years +-------------------- Relative time -----------------------------------------+ | Start time:................. 3 | End time:................... None | Relative time unit:......... years +-------------------- Relative time -----------------------------------------+ | Start time:................. 4 | End time:................... 5 | Relative time unit:......... years >>> maps = tgis.AbstractSpaceTimeDataset.snap_map_list(maps) >>> for map in maps: ... map.temporal_extent.print_info() +-------------------- Relative time -----------------------------------------+ | Start time:................. 0 | End time:................... 1 | Relative time unit:......... years +-------------------- Relative time -----------------------------------------+ | Start time:................. 1 | End time:................... 2 | Relative time unit:......... years +-------------------- Relative time -----------------------------------------+ | Start time:................. 2 | End time:................... 3 | Relative time unit:......... years +-------------------- Relative time -----------------------------------------+ | Start time:................. 3 | End time:................... 4 | Relative time unit:......... years +-------------------- Relative time -----------------------------------------+ | Start time:................. 4 | End time:................... 5 | Relative time unit:......... years """ if maps is None or len(maps) == 0: return None # We need to sort the maps temporally by start time maps = sorted(maps, key=AbstractDatasetComparisonKeyStartTime) for i in range(len(maps) - 1): start, end = maps[i].get_temporal_extent_as_tuple() start_next, end = maps[i + 1].get_temporal_extent_as_tuple() # Maps with equal time stamps can not be snapped if start != start_next: if maps[i].is_time_absolute(): maps[i].set_absolute_time(start, start_next) elif maps[i].is_time_relative(): maps[i].set_relative_time(start, start_next, maps[i].get_relative_time_unit()) else: if maps[i].is_time_absolute(): maps[i].set_absolute_time(start, end) elif maps[i].is_time_relative(): maps[i].set_relative_time(start, end, maps[i].get_relative_time_unit()) # Last map start, end = maps[-1].get_temporal_extent_as_tuple() # We increment the start time with the dataset # granularity if the end time is None if end is None: if maps[-1].is_time_absolute(): gran = compute_absolute_time_granularity(maps) end = increment_datetime_by_string(start, gran) maps[-1].set_absolute_time(start, end) elif maps[-1].is_time_relative(): gran = compute_relative_time_granularity(maps) end = start + gran maps[-1].set_relative_time(start, end, maps[-1].get_relative_time_unit()) return maps
[docs] def snap(self, dbif=None): """For each registered map snap the end time to the start time of its temporal nearest neighbor in the future Maps with equal time stamps are not snapped :param dbif: The database interface to be used """ if get_enable_mapset_check() is True and \ self.get_mapset() != get_current_mapset(): self.msgr.fatal(_("Unable to snap dataset <%(ds)s> of type " "%(type)s in the temporal database. The mapset " "of the dataset does not match the current " "mapset") % ({"ds": self.get_id()}, {"type": self.get_type()})) dbif, connected = init_dbif(dbif) maps = self.get_registered_maps_as_objects(dbif=dbif) if maps is None: return date_list = [] for i in range(len(maps) - 1): start, end = maps[i].get_temporal_extent_as_tuple() start_next, end = maps[i + 1].get_temporal_extent_as_tuple() # Maps with equal time stamps can not be snapped if start != start_next: date_list.append((start, start_next)) else: # Keep the original time stamps date_list.append((start, end)) # Last map start, end = maps[-1].get_temporal_extent_as_tuple() # We increment the start time with the dataset # granularity if the end time is None if end is None: if self.is_time_absolute(): end = increment_datetime_by_string(start, self.get_granularity()) elif self.is_time_relative(): end = start + self.get_granularity() date_list.append((start, end)) self._update_map_timestamps(maps, date_list, dbif) if connected: dbif.close()
def _update_map_timestamps(self, maps, date_list, dbif): """Update the timestamps of maps with the start and end time stored in the date_list. The number of dates in the list must be equal to the number of maps. :param maps: A list of map objects :param date_list: A list with date tuples (start_time, end_time) :param dbif: The database interface to be used """ datatsets_to_modify = {} # Now update the maps count = 0 for map in maps: start = date_list[count][0] end = date_list[count][1] map.select(dbif) count += 1 if self.is_time_absolute(): map.update_absolute_time(start_time=start, end_time=end, dbif=dbif) elif self.is_time_relative(): map.update_relative_time(start_time=start, end_time=end, unit=self.get_relative_time_unit(), dbif=dbif) # Save the datasets that must be updated datasets = map.get_registered_stds(dbif) if datasets: for dataset in datasets: datatsets_to_modify[dataset] = dataset self.update_from_registered_maps(dbif) # Update affected datasets if datatsets_to_modify: for dataset in datatsets_to_modify: if dataset != self.get_id(): ds = self.get_new_instance(ident=dataset) ds.select(dbif) ds.update_from_registered_maps(dbif)
[docs] def rename(self, ident, dbif=None): """Rename the space time dataset This method renames the space time dataset, the map register table and updates the entries in registered maps stds register. Renaming does not work with Postgresql yet. :param ident: The new identifier "name@mapset" :param dbif: The database interface to be used """ if get_enable_mapset_check() is True and self.get_mapset() != get_current_mapset(): self.msgr.fatal(_("Unable to rename dataset <%(ds)s> of type " "%(type)s in the temporal database. The mapset " "of the dataset does not match the current " "mapset") % ({"ds": self.get_id()}, {"type": self.get_type()})) dbif, connected = init_dbif(dbif) if dbif.get_dbmi().__name__ != "sqlite3": self.msgr.fatal(_("Renaming of space time datasets is not " "supported for PostgreSQL.")) # SELECT all needed information from the database self.select(dbif) # We need to select the registered maps here maps = self.get_registered_maps_as_objects(None, "start_time", dbif) # Safe old identifier old_ident = self.get_id() # We need to rename the old table old_map_register_table = self.get_map_register() # Set new identifier self.set_id(ident) # Create map register table name from new identifier new_map_register_table = self.create_map_register_name() # Set new map register table name self.set_map_register(new_map_register_table) # Get the update statement, we update the table entry of the old # identifier statement = self.update(dbif, execute=False, ident=old_ident) # We need to rename the raster register table statement += "ALTER TABLE %s RENAME TO \"%s\";\n" % \ (old_map_register_table, new_map_register_table) # We need to take care of the stds index in the sqlite3 database if dbif.get_dbmi().__name__ == "sqlite3": statement += "DROP INDEX %s_index;\n" % (old_map_register_table) statement += "CREATE INDEX %s_index ON %s (id);" % \ (new_map_register_table, new_map_register_table) # We need to rename the space time dataset in the maps register table if maps: for map in maps: map.remove_stds_from_register(stds_id=old_ident, dbif=dbif) map.add_stds_to_register(stds_id=ident, dbif=dbif) # Execute the accumulated statements dbif.execute_transaction(statement) if connected: dbif.close()
[docs] def delete(self, dbif=None, execute=True): """Delete a space time dataset from the temporal database This method removes the space time dataset from the temporal database and drops its map register table :param dbif: The database interface to be used :param execute: If True the SQL DELETE and DROP table statements will be executed. If False the prepared SQL statements are returned and must be executed by the caller. :return: The SQL statements if execute == False, else an empty string """ # First we need to check if maps are registered in this dataset and # unregister them self.msgr.verbose(_("Delete space time %s dataset <%s> from temporal " "database") % (self.get_new_map_instance(ident=None).get_type(), self.get_id())) if get_enable_mapset_check() is True and \ self.get_mapset() != get_current_mapset(): self.msgr.fatal(_("Unable to delete dataset <%(ds)s> of type " "%(type)s from the temporal database. The mapset" " of the dataset does not match the current " "mapset") % {"ds": self.get_id(), "type": self.get_type()}) statement = "" dbif, connected = init_dbif(dbif) # SELECT all needed information from the database self.metadata.select(dbif) if self.get_map_register() is not None: self.msgr.debug(1, _("Drop map register table: %s") % ( self.get_map_register())) rows = self.get_registered_maps("id", None, None, dbif) # Unregister each registered map in the table if rows is not None: for row in rows: # Unregister map map = self.get_new_map_instance(row["id"]) statement += self.unregister_map( map=map, dbif=dbif, execute=False) # Safe the DROP table statement statement += "DROP TABLE IF EXISTS " + self.get_map_register() + ";\n" # Remove the primary key, the foreign keys will be removed by trigger statement += self.base.get_delete_statement() if execute: dbif.execute_transaction(statement) self.reset(None) if connected: dbif.close() if execute: return "" return statement
[docs] def is_map_registered(self, map_id, dbif=None): """Check if a map is registered in the space time dataset :param map_id: The map id :param dbif: The database interface to be used :return: True if success, False otherwise """ stds_register_table = self.get_map_register() dbif, connected = init_dbif(dbif) is_registered = False # Check if map is already registered if stds_register_table is not None: if dbif.get_dbmi().paramstyle == "qmark": sql = "SELECT id FROM " + \ stds_register_table + " WHERE id = (?)" else: sql = "SELECT id FROM " + \ stds_register_table + " WHERE id = (%s)" try: dbif.execute(sql, (map_id,), mapset=self.base.mapset) row = dbif.fetchone(mapset=self.base.mapset) except: self.msgr.warning(_("Error in register table request")) raise if row is not None and row[0] == map_id: is_registered = True if connected is True: dbif.close() return is_registered
[docs] def register_map(self, map, dbif=None): """Register a map in the space time dataset. This method takes care of the registration of a map in a space time dataset. In case the map is already registered this function will break with a warning and return False. This method raises a FatalError exception in case of a fatal error :param map: The AbstractMapDataset object that should be registered :param dbif: The database interface to be used :return: True if success, False otherwise """ if get_enable_mapset_check() is True and \ self.get_mapset() != get_current_mapset(): self.msgr.fatal(_("Unable to register map in dataset <%(ds)s> of " "type %(type)s. The mapset of the dataset does " "not match the current mapset") % {"ds": self.get_id(), "type": self.get_type()}) dbif, connected = init_dbif(dbif) if map.is_in_db(dbif) is False: dbif.close() self.msgr.fatal(_("Only a map that was inserted in the temporal " "database can be registered in a space time " "dataset")) if map.get_layer(): self.msgr.debug(1, "Register %s map <%s> with layer %s in space " "time %s dataset <%s>" % (map.get_type(), map.get_map_id(), map.get_layer(), map.get_type(), self.get_id())) else: self.msgr.debug(1, "Register %s map <%s> in space time %s " "dataset <%s>" % (map.get_type(), map.get_map_id(), map.get_type(), self.get_id())) # First select all data from the database map.select(dbif) if not map.check_for_correct_time(): if map.get_layer(): self.msgr.fatal(_("Map <%(id)s> with layer %(l)s has invalid " "time") % {'id': map.get_map_id(), 'l': map.get_layer()}) else: self.msgr.fatal(_("Map <%s> has invalid time") % (map.get_map_id())) # Get basic info map_id = map.base.get_id() map_mapset = map.base.get_mapset() map_rel_time_unit = map.get_relative_time_unit() map_ttype = map.get_temporal_type() stds_mapset = self.base.get_mapset() stds_register_table = self.get_map_register() stds_ttype = self.get_temporal_type() # The gathered SQL statemets are stroed here statement = "" # Check temporal types if stds_ttype != map_ttype: if map.get_layer(): self.msgr.fatal(_("Temporal type of space time dataset " "<%(id)s> and map <%(map)s> with layer %(l)s" " are different") % {'id': self.get_id(), 'map': map.get_map_id(), 'l': map.get_layer()}) else: self.msgr.fatal(_("Temporal type of space time dataset " "<%(id)s> and map <%(map)s> are different") % {'id': self.get_id(), 'map': map.get_map_id()}) # In case no map has been registered yet, set the # relative time unit from the first map if (self.metadata.get_number_of_maps() is None or self.metadata.get_number_of_maps() == 0) and \ self.map_counter == 0 and self.is_time_relative(): self.set_relative_time_unit(map_rel_time_unit) statement += self.relative_time.get_update_all_statement_mogrified( dbif) self.msgr.debug(1, _("Set temporal unit for space time %s dataset " "<%s> to %s") % (map.get_type(), self.get_id(), map_rel_time_unit)) stds_rel_time_unit = self.get_relative_time_unit() # Check the relative time unit if self.is_time_relative() and (stds_rel_time_unit != map_rel_time_unit): if map.get_layer(): self.msgr.fatal(_("Relative time units of space time dataset " "<%(id)s> and map <%(map)s> with layer %(l)s" " are different") % {'id': self.get_id(), 'map': map.get_map_id(), 'l': map.get_layer()}) else: self.msgr.fatal(_("Relative time units of space time dataset " "<%(id)s> and map <%(map)s> are different") % {'id': self.get_id(), 'map': map.get_map_id()}) if get_enable_mapset_check() is True and stds_mapset != map_mapset: dbif.close() self.msgr.fatal(_("Only maps from the same mapset can be registered")) # Check if map is already registered if self.is_map_registered(map_id, dbif=dbif): if map.get_layer() is not None: self.msgr.warning(_("Map <%(map)s> with layer %(l)s is already" " registered.") % {'map': map.get_map_id(), 'l': map.get_layer()}) else: self.msgr.warning(_("Map <%s> is already registered.") % (map.get_map_id())) return False # Register the stds in the map stds register table column statement += map.add_stds_to_register(stds_id=self.base.get_id(), dbif=dbif, execute=False) # Now put the raster name in the stds map register table if dbif.get_dbmi().paramstyle == "qmark": sql = "INSERT INTO " + stds_register_table + \ " (id) " + "VALUES (?);\n" else: sql = "INSERT INTO " + stds_register_table + \ " (id) " + "VALUES (%s);\n" statement += dbif.mogrify_sql_statement((sql, (map_id,))) # Now execute the insert transaction dbif.execute_transaction(statement) if connected: dbif.close() # increase the counter self.map_counter += 1 return True
[docs] def unregister_map(self, map, dbif=None, execute=True): """Unregister a map from the space time dataset. This method takes care of the un-registration of a map from a space time dataset. :param map: The map object to unregister :param dbif: The database interface to be used :param execute: If True the SQL DELETE and DROP table statements will be executed. If False the prepared SQL statements are returned and must be executed by the caller. :return: The SQL statements if execute == False, else an empty string, None in case of a failure """ if get_enable_mapset_check() is True and \ self.get_mapset() != get_current_mapset(): self.msgr.fatal(_("Unable to unregister map from dataset <%(ds)s>" " of type %(type)s in the temporal database." " The mapset of the dataset does not match the" " current mapset") % {"ds": self.get_id(), "type": self.get_type()}) statement = "" dbif, connected = init_dbif(dbif) # Check if the map is registered in the space time raster dataset if self.is_map_registered(map.get_id(), dbif) is False: if map.get_layer() is not None: self.msgr.warning(_("Map <%(map)s> with layer %(l)s is not " "registered in space time dataset " "<%(base)s>") % {'map': map.get_map_id(), 'l': map.get_layer(), 'base': self.base.get_id()}) else: self.msgr.warning(_("Map <%(map)s> is not registered in space " "time dataset <%(base)s>") % {'map': map.get_map_id(), 'base': self.base.get_id()}) if connected is True: dbif.close() return "" # Remove the space time dataset from the dataset register # We need to execute the statement here, otherwise the space time # dataset will not be removed correctly map.remove_stds_from_register(self.base.get_id(), dbif=dbif, execute=True) # Remove the map from the space time dataset register stds_register_table = self.get_map_register() if stds_register_table is not None: if dbif.get_dbmi().paramstyle == "qmark": sql = "DELETE FROM " + stds_register_table + " WHERE id = ?;\n" else: sql = "DELETE FROM " + \ stds_register_table + " WHERE id = %s;\n" statement += dbif.mogrify_sql_statement((sql, (map.get_id(), ))) if execute: dbif.execute_transaction(statement) statement = "" if connected: dbif.close() # decrease the counter self.map_counter -= 1 return statement
[docs] def update_from_registered_maps(self, dbif=None): """This methods updates the modification time, the spatial and temporal extent as well as type specific metadata. It should always been called after maps are registered or unregistered/deleted from the space time dataset. The update of the temporal extent checks if the end time is set correctly. In case the registered maps have no valid end time (None) the maximum start time will be used. If the end time is earlier than the maximum start time, it will be replaced by the maximum start time. :param dbif: The database interface to be used """ if get_enable_mapset_check() is True and \ self.get_mapset() != get_current_mapset(): self.msgr.fatal(_("Unable to update dataset <%(ds)s> of type " "%(type)s in the temporal database. The mapset" " of the dataset does not match the current " "mapset") % {"ds": self.get_id(), "type": self.get_type()}) self.msgr.verbose(_("Update metadata, spatial and temporal extent from" " all registered maps of <%s>") % (self.get_id())) # Nothing to do if the map register is not present if not self.get_map_register(): return dbif, connected = init_dbif(dbif) map_time = None use_start_time = False # Get basic info stds_name = self.base.get_name() stds_mapset = self.base.get_mapset() sql_path = get_sql_template_path() stds_register_table = self.get_map_register() # We create a transaction sql_script = "" # Update the spatial and temporal extent from registered maps # Read the SQL template sql = open(os.path.join(sql_path, "update_stds_spatial_temporal_extent_template.sql"), 'r').read() sql = sql.replace( "GRASS_MAP", self.get_new_map_instance(None).get_type()) sql = sql.replace("SPACETIME_REGISTER_TABLE", stds_register_table) sql = sql.replace("SPACETIME_ID", self.base.get_id()) sql = sql.replace("STDS", self.get_type()) sql_script += sql sql_script += "\n" # Update type specific metadata sql = open(os.path.join(sql_path, "update_" + self.get_type() + "_metadata_template.sql"), 'r').read() sql = sql.replace("SPACETIME_REGISTER_TABLE", stds_register_table) sql = sql.replace("SPACETIME_ID", self.base.get_id()) sql_script += sql sql_script += "\n" dbif.execute_transaction(sql_script) # Read and validate the selected end time self.select(dbif) if self.is_time_absolute(): start_time, end_time = self.get_absolute_time() else: start_time, end_time, unit = self.get_relative_time() # In case no end time is set, use the maximum start time of # all registered maps as end time if end_time is None: use_start_time = True else: # Check if the end time is smaller than the maximum start time if self.is_time_absolute(): sql = """SELECT max(start_time) FROM GRASS_MAP_absolute_time WHERE GRASS_MAP_absolute_time.id IN (SELECT id FROM SPACETIME_REGISTER_TABLE);""" sql = sql.replace("GRASS_MAP", self.get_new_map_instance( None).get_type()) sql = sql.replace("SPACETIME_REGISTER_TABLE", stds_register_table) else: sql = """SELECT max(start_time) FROM GRASS_MAP_relative_time WHERE GRASS_MAP_relative_time.id IN (SELECT id FROM SPACETIME_REGISTER_TABLE);""" sql = sql.replace("GRASS_MAP", self.get_new_map_instance( None).get_type()) sql = sql.replace("SPACETIME_REGISTER_TABLE", stds_register_table) dbif.execute(sql, mapset=self.base.mapset) row = dbif.fetchone(mapset=self.base.mapset) if row is not None: # This seems to be a bug in sqlite3 Python driver if dbif.get_dbmi().__name__ == "sqlite3": tstring = row[0] # Convert the unicode string into the datetime format if self.is_time_absolute(): max_start_time = string_to_datetime(tstring) if max_start_time is None: max_start_time = end_time else: max_start_time = row[0] else: max_start_time = row[0] if end_time < max_start_time: use_start_time = True # Set the maximum start time as end time if use_start_time: if self.is_time_absolute(): sql = """UPDATE STDS_absolute_time SET end_time = (SELECT max(start_time) FROM GRASS_MAP_absolute_time WHERE GRASS_MAP_absolute_time.id IN (SELECT id FROM SPACETIME_REGISTER_TABLE) ) WHERE id = 'SPACETIME_ID';""" sql = sql.replace("GRASS_MAP", self.get_new_map_instance( None).get_type()) sql = sql.replace("SPACETIME_REGISTER_TABLE", stds_register_table) sql = sql.replace("SPACETIME_ID", self.base.get_id()) sql = sql.replace("STDS", self.get_type()) elif self.is_time_relative(): sql = """UPDATE STDS_relative_time SET end_time = (SELECT max(start_time) FROM GRASS_MAP_relative_time WHERE GRASS_MAP_relative_time.id IN (SELECT id FROM SPACETIME_REGISTER_TABLE) ) WHERE id = 'SPACETIME_ID';""" sql = sql.replace("GRASS_MAP", self.get_new_map_instance( None).get_type()) sql = sql.replace("SPACETIME_REGISTER_TABLE", stds_register_table) sql = sql.replace("SPACETIME_ID", self.base.get_id()) sql = sql.replace("STDS", self.get_type()) dbif.execute_transaction(sql) # Count the temporal map types maps = self.get_registered_maps_as_objects(dbif=dbif) tlist = self.count_temporal_types(maps) if tlist["interval"] > 0 and tlist["point"] == 0 and \ tlist["invalid"] == 0: map_time = "interval" elif tlist["interval"] == 0 and tlist["point"] > 0 and \ tlist["invalid"] == 0: map_time = "point" elif tlist["interval"] > 0 and tlist["point"] > 0 and \ tlist["invalid"] == 0: map_time = "mixed" else: map_time = "invalid" # Compute the granularity if map_time != "invalid": # Smallest supported temporal resolution if self.is_time_absolute(): gran = compute_absolute_time_granularity(maps) elif self.is_time_relative(): gran = compute_relative_time_granularity(maps) else: gran = None # Set the map time type and update the time objects self.temporal_extent.select(dbif) self.metadata.select(dbif) if self.metadata.get_number_of_maps() > 0: self.temporal_extent.set_map_time(map_time) self.temporal_extent.set_granularity(gran) else: self.temporal_extent.set_map_time(None) self.temporal_extent.set_granularity(None) self.temporal_extent.update_all(dbif) # Set the modification time self.base.set_mtime(datetime.now()) self.base.update(dbif) if connected: dbif.close() ###############################################################################
if __name__ == "__main__": import doctest doctest.testmod()

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