| 1 | """
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| 2 | Functions to create space time dataset lists
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| 3 |
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| 4 | Usage:
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| 5 |
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| 6 | .. code-block:: python
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| 7 |
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| 8 | import grass.temporal as tgis
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| 9 |
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| 10 | tgis.register_maps_in_space_time_dataset(type, name, maps)
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| 11 |
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| 12 |
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| 13 | (C) 2012-2016 by the GRASS Development Team
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| 14 | This program is free software under the GNU General Public
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| 15 | License (>=v2). Read the file COPYING that comes with GRASS GIS
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| 16 | for details.
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| 17 |
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| 18 | :authors: Soeren Gebbert
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| 19 | """
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| 20 | from __future__ import print_function
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| 21 | from .core import get_tgis_message_interface, get_available_temporal_mapsets, init_dbif
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| 22 | from .datetime_math import time_delta_to_relative_time
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| 23 | from .space_time_datasets import RasterDataset
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| 24 | from .factory import dataset_factory
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| 25 | from .open_stds import open_old_stds
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| 26 | import grass.script as gscript
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| 27 |
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| 28 | ###############################################################################
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| 29 |
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| 30 |
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| 31 | def get_dataset_list(type, temporal_type, columns=None, where=None,
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| 32 | order=None, dbif=None):
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| 33 | """ Return a list of time stamped maps or space time datasets of a specific
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| 34 | temporal type that are registered in the temporal database
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| 35 |
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| 36 | This method returns a dictionary, the keys are the available mapsets,
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| 37 | the values are the rows from the SQL database query.
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| 38 |
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| 39 | :param type: The type of the datasets (strds, str3ds, stvds, raster,
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| 40 | raster_3d, vector)
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| 41 | :param temporal_type: The temporal type of the datasets (absolute,
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| 42 | relative)
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| 43 | :param columns: A comma separated list of columns that will be selected
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| 44 | :param where: A where statement for selected listing without "WHERE"
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| 45 | :param order: A comma separated list of columns to order the
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| 46 | datasets by category
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| 47 | :param dbif: The database interface to be used
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| 48 |
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| 49 | :return: A dictionary with the rows of the SQL query for each
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| 50 | available mapset
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| 51 |
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| 52 | .. code-block:: python
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| 53 |
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| 54 | >>> import grass.temporal as tgis
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| 55 | >>> tgis.core.init()
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| 56 | >>> name = "list_stds_test"
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| 57 | >>> sp = tgis.open_stds.open_new_stds(name=name, type="strds",
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| 58 | ... temporaltype="absolute", title="title", descr="descr",
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| 59 | ... semantic="mean", dbif=None, overwrite=True)
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| 60 | >>> mapset = tgis.get_current_mapset()
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| 61 | >>> stds_list = tgis.list_stds.get_dataset_list("strds", "absolute", columns="name")
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| 62 | >>> rows = stds_list[mapset]
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| 63 | >>> for row in rows:
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| 64 | ... if row["name"] == name:
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| 65 | ... print(True)
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| 66 | True
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| 67 | >>> stds_list = tgis.list_stds.get_dataset_list("strds", "absolute", columns="name,mapset", where="mapset = '%s'"%(mapset))
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| 68 | >>> rows = stds_list[mapset]
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| 69 | >>> for row in rows:
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| 70 | ... if row["name"] == name and row["mapset"] == mapset:
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| 71 | ... print(True)
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| 72 | True
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| 73 | >>> check = sp.delete()
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| 74 |
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| 75 | """
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| 76 | id = None
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| 77 | sp = dataset_factory(type, id)
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| 78 |
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| 79 | dbif, connected = init_dbif(dbif)
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| 80 |
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| 81 | mapsets = get_available_temporal_mapsets()
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| 82 |
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| 83 | result = {}
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| 84 |
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| 85 | for mapset in mapsets.keys():
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| 86 |
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| 87 | if temporal_type == "absolute":
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| 88 | table = sp.get_type() + "_view_abs_time"
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| 89 | else:
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| 90 | table = sp.get_type() + "_view_rel_time"
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| 91 |
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| 92 | if columns and columns.find("all") == -1:
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| 93 | sql = "SELECT " + str(columns) + " FROM " + table
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| 94 | else:
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| 95 | sql = "SELECT * FROM " + table
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| 96 |
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| 97 | if where:
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| 98 | sql += " WHERE " + where
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| 99 | sql += " AND mapset = '%s'" % (mapset)
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| 100 | else:
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| 101 | sql += " WHERE mapset = '%s'" % (mapset)
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| 102 |
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| 103 | if order:
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| 104 | sql += " ORDER BY " + order
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| 105 |
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| 106 | dbif.execute(sql, mapset=mapset)
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| 107 | rows = dbif.fetchall(mapset=mapset)
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| 108 |
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| 109 | if rows:
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| 110 | result[mapset] = rows
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| 111 |
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| 112 | if connected:
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| 113 | dbif.close()
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| 114 |
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| 115 | return result
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| 116 |
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| 117 | ###############################################################################
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| 118 |
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| 119 |
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| 120 | def list_maps_of_stds(type, input, columns, order, where, separator,
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| 121 | method, no_header=False, gran=None, dbif=None,
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| 122 | outpath=None):
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| 123 | """ List the maps of a space time dataset using different methods
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| 124 |
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| 125 | :param type: The type of the maps raster, raster3d or vector
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| 126 | :param input: Name of a space time raster dataset
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| 127 | :param columns: A comma separated list of columns to be printed to stdout
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| 128 | :param order: A comma separated list of columns to order the
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| 129 | maps by category
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| 130 | :param where: A where statement for selected listing without "WHERE"
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| 131 | e.g: start_time < "2001-01-01" and end_time > "2001-01-01"
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| 132 | :param separator: The field separator character between the columns
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| 133 | :param method: String identifier to select a method out of cols,
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| 134 | comma,delta or deltagaps
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| 135 | :param dbif: The database interface to be used
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| 136 |
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| 137 | - "cols" Print preselected columns specified by columns
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| 138 | - "comma" Print the map ids ("name@mapset") as comma separated string
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| 139 | - "delta" Print the map ids ("name@mapset") with start time,
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| 140 | end time, relative length of intervals and the relative
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| 141 | distance to the begin
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| 142 | - "deltagaps" Same as "delta" with additional listing of gaps.
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| 143 | Gaps can be easily identified as the id is "None"
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| 144 | - "gran" List map using the granularity of the space time dataset,
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| 145 | columns are identical to deltagaps
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| 146 |
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| 147 | :param no_header: Suppress the printing of column names
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| 148 | :param gran: The user defined granule to be used if method=gran is
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| 149 | set, in case gran=None the granule of the space time
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| 150 | dataset is used
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| 151 | :param outpath: The path to file where to save output
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| 152 | """
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| 153 |
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| 154 | dbif, connected = init_dbif(dbif)
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| 155 | msgr = get_tgis_message_interface()
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| 156 |
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| 157 | sp = open_old_stds(input, type, dbif)
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| 158 |
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| 159 | if separator is None or separator == "":
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| 160 | separator = "\t"
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| 161 |
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| 162 | if outpath:
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| 163 | outfile = open(outpath, 'w')
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| 164 |
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| 165 | # This method expects a list of objects for gap detection
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| 166 | if method == "delta" or method == "deltagaps" or method == "gran":
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| 167 | if type == "stvds":
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| 168 | columns = "id,name,layer,mapset,start_time,end_time"
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| 169 | else:
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| 170 | columns = "id,name,mapset,start_time,end_time"
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| 171 | if method == "deltagaps":
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| 172 | maps = sp.get_registered_maps_as_objects_with_gaps(where=where,
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| 173 | dbif=dbif)
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| 174 | elif method == "delta":
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| 175 | maps = sp.get_registered_maps_as_objects(where=where,
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| 176 | order="start_time",
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| 177 | dbif=dbif)
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| 178 | elif method == "gran":
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| 179 | if gran is not None and gran != "":
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| 180 | maps = sp.get_registered_maps_as_objects_by_granularity(gran=gran,
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| 181 | dbif=dbif)
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| 182 | else:
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| 183 | maps = sp.get_registered_maps_as_objects_by_granularity(dbif=dbif)
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| 184 |
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| 185 | if no_header is False:
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| 186 | string = ""
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| 187 | string += "%s%s" % ("id", separator)
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| 188 | string += "%s%s" % ("name", separator)
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| 189 | if type == "stvds":
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| 190 | string += "%s%s" % ("layer", separator)
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| 191 | string += "%s%s" % ("mapset", separator)
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| 192 | string += "%s%s" % ("start_time", separator)
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| 193 | string += "%s%s" % ("end_time", separator)
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| 194 | string += "%s%s" % ("interval_length", separator)
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| 195 | string += "%s" % ("distance_from_begin")
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| 196 | if outpath:
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| 197 | outfile.write('{st}\n'.format(st=string))
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| 198 | else:
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| 199 | print(string)
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| 200 |
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| 201 | if maps and len(maps) > 0:
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| 202 |
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| 203 | if isinstance(maps[0], list):
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| 204 | if len(maps[0]) > 0:
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| 205 | first_time, dummy = maps[0][0].get_temporal_extent_as_tuple()
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| 206 | else:
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| 207 | msgr.warning(_("Empty map list"))
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| 208 | return
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| 209 | else:
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| 210 | first_time, dummy = maps[0].get_temporal_extent_as_tuple()
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| 211 |
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| 212 | for mymap in maps:
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| 213 |
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| 214 | if isinstance(mymap, list):
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| 215 | if len(mymap) > 0:
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| 216 | map = mymap[0]
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| 217 | else:
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| 218 | msgr.fatal(_("Empty entry in map list, this should not happen"))
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| 219 | else:
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| 220 | map = mymap
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| 221 |
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| 222 | start, end = map.get_temporal_extent_as_tuple()
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| 223 | if end:
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| 224 | delta = end - start
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| 225 | else:
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| 226 | delta = None
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| 227 | delta_first = start - first_time
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| 228 |
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| 229 | if map.is_time_absolute():
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| 230 | if end:
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| 231 | delta = time_delta_to_relative_time(delta)
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| 232 | delta_first = time_delta_to_relative_time(delta_first)
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| 233 |
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| 234 | string = ""
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| 235 | string += "%s%s" % (map.get_id(), separator)
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| 236 | string += "%s%s" % (map.get_name(), separator)
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| 237 | if type == "stvds":
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| 238 | string += "%s%s" % (map.get_layer(), separator)
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| 239 | string += "%s%s" % (map.get_mapset(), separator)
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| 240 | string += "%s%s" % (start, separator)
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| 241 | string += "%s%s" % (end, separator)
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| 242 | string += "%s%s" % (delta, separator)
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| 243 | string += "%s" % (delta_first)
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| 244 | if outpath:
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| 245 | outfile.write('{st}\n'.format(st=string))
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| 246 | else:
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| 247 | print(string)
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| 248 |
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| 249 | else:
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| 250 | # In comma separated mode only map ids are needed
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| 251 | if method == "comma":
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| 252 | if columns not in ['id', 'name']:
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| 253 | columns = "id"
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| 254 |
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| 255 | rows = sp.get_registered_maps(columns, where, order, dbif)
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| 256 |
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| 257 | if not rows:
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| 258 | dbif.close()
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| 259 | err = "Space time %(sp)s dataset <%(i)s> is empty"
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| 260 | if where:
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| 261 | err += " or where condition is wrong"
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| 262 | gscript.fatal(_(err) % {
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| 263 | 'sp': sp.get_new_map_instance(None).get_type(),
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| 264 | 'i': sp.get_id()})
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| 265 |
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| 266 | if rows:
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| 267 | if method == "comma":
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| 268 | string = ""
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| 269 | count = 0
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| 270 | for row in rows:
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| 271 | if count == 0:
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| 272 | string += row[columns]
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| 273 | else:
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| 274 | string += ",%s" % row[columns]
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| 275 | count += 1
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| 276 | if outpath:
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| 277 | outfile.write('{st}\n'.format(st=string))
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| 278 | else:
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| 279 | print(string)
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| 280 |
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| 281 | elif method == "cols":
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| 282 | # Print the column names if requested
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| 283 | if no_header is False:
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| 284 | output = ""
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| 285 | count = 0
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| 286 |
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| 287 | collist = columns.split(",")
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| 288 |
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| 289 | for key in collist:
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| 290 | if count > 0:
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| 291 | output += separator + str(key)
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| 292 | else:
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| 293 | output += str(key)
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| 294 | count += 1
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| 295 | if outpath:
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| 296 | outfile.write('{st}\n'.format(st=output))
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| 297 | else:
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| 298 | print(output)
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| 299 |
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| 300 | for row in rows:
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| 301 | output = ""
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| 302 | count = 0
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| 303 | for col in row:
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| 304 | if count > 0:
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| 305 | output += separator + str(col)
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| 306 | else:
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| 307 | output += str(col)
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| 308 | count += 1
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| 309 | if outpath:
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| 310 | outfile.write('{st}\n'.format(st=output))
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| 311 | else:
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| 312 | print(output)
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| 313 | if outpath:
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| 314 | outfile.close()
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| 315 | if connected:
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| 316 | dbif.close()
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| 317 |
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| 318 | ###############################################################################
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| 319 |
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| 320 | if __name__ == "__main__":
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| 321 | import doctest
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| 322 | doctest.testmod()
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