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Source code for temporal.stds_import

"""
Space time dataset import functions

Usage:

.. code-block:: python

    import grass.temporal as tgis

    input="/tmp/temp_1950_2012.tar.gz"
    output="temp_1950_2012"
    directory="/tmp"
    title="My new dataset"
    descr="May new shiny dataset"
    location=None
    link=True
    exp=True
    overr=False
    create=False
    tgis.import_stds(input, output, directory, title, descr, location,
                    link, exp, overr, create, "strds")


(C) 2012-2013 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
"""

import os
import os.path
import tarfile

from space_time_datasets import *
from register import *
import factory
from factory import *
import grass.script as gscript
from grass.exceptions import CalledModuleError

proj_file_name = "proj.txt"
init_file_name = "init.txt"
list_file_name = "list.txt"

# This global variable is for unique vector map export,
# since single vector maps may have several layer
# and therefore several attribute tables
imported_maps = {}

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


def _import_raster_maps_from_gdal(maplist, overr, exp, location, link, format_,
                                  set_current_region=False):
    impflags = ""
    if overr:
        impflags += "o"
    if exp or location:
        impflags += "e"
    for row in maplist:
        name = row["name"]
        if format_ == "GTiff":
            filename = row["filename"] + ".tif"
        elif format_ == "AAIGrid":
            filename = row["filename"] + ".asc"
            if not overr:
                impflags += "o"

        try:
            if link:
                gscript.run_command("r.external", input=filename,
                                    output=name,
                                    flags=impflags,
                                    overwrite=gscript.overwrite())
            else:
                gscript.run_command("r.in.gdal", input=filename,
                                    output=name,
                                    flags=impflags,
                                    overwrite=gscript.overwrite())

        except CalledModuleError:
            gscript.fatal(_("Unable to import/link raster map <%s> from file"
                            " %s.") % (name, filename))

        # Set the color rules if present
        filename = row["filename"] + ".color"
        if os.path.isfile(filename):
            try:
                gscript.run_command("r.colors", map=name,
                                    rules=filename,
                                    overwrite=gscript.overwrite())
            except CalledModuleError:
                gscript.fatal(_("Unable to set the color rules for "
                                "raster map <%s>.") % name)

    # Set the computational region from the last map imported
    if set_current_region is True:
        gscript.run_command("g.region", raster=name)

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


def _import_raster_maps(maplist, set_current_region=False):
    # We need to disable the projection check because of its
    # simple implementation
    impflags = "o"
    for row in maplist:
        name = row["name"]
        filename = row["filename"] + ".pack"
        try:
            gscript.run_command("r.unpack", input=filename,
                                output=name, flags=impflags,
                                overwrite=gscript.overwrite(),
                                verbose=True)

        except CalledModuleError:
            gscript.fatal(_("Unable to unpack raster map <%s> from file "
                            "%s.") % (name, filename))

    # Set the computational region from the last map imported
    if set_current_region is True:
        gscript.run_command("g.region", raster=name)

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


def _import_vector_maps_from_gml(maplist, overr, exp, location, link):
    impflags = "o"
    if exp or location:
        impflags += "e"
    for row in maplist:
        name = row["name"]
        filename = row["filename"] + ".xml"

        try:
            gscript.run_command("v.in.ogr", input=filename,
                                output=name, flags=impflags,
                                overwrite=gscript.overwrite())

        except CalledModuleError:
            gscript.fatal(_("Unable to import vector map <%s> from file "
                            "%s.") % (name, filename))

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


def _import_vector_maps(maplist):
    # We need to disable the projection check because of its
    # simple implementation
    impflags = "o"
    for row in maplist:
        # Separate the name from the layer
        name = row["name"].split(":")[0]
        # Import only unique maps
        if name in imported_maps:
            continue
        filename = row["filename"] + ".pack"
        try:
            gscript.run_command("v.unpack", input=filename,
                                output=name, flags=impflags,
                                overwrite=gscript.overwrite(),
                                verbose=True)

        except CalledModuleError:
            gscript.fatal(_("Unable to unpack vector map <%s> from file "
                            "%s.") % (name, filename))

        imported_maps[name] = name
############################################################################


[docs]def import_stds(input, output, directory, title=None, descr=None, location=None, link=False, exp=False, overr=False, create=False, stds_type="strds", base=None, set_current_region=False): """Import space time datasets of type raster and vector :param input: Name of the input archive file :param output: The name of the output space time dataset :param directory: The extraction directory :param title: The title of the new created space time dataset :param descr: The description of the new created space time dataset :param location: The name of the location that should be created, maps are imported into this location :param link: Switch to link raster maps instead importing them :param exp: Extend location extents based on new dataset :param overr: Override projection (use location's projection) :param create: Create the location specified by the "location" parameter and exit. Do not import the space time datasets. :param stds_type: The type of the space time dataset that should be imported :param base: The base name of the new imported maps, it will be extended using a numerical index. """ global raise_on_error old_state = gscript.raise_on_error gscript.set_raise_on_error(True) # Check if input file and extraction directory exits if not os.path.exists(input): gscript.fatal(_("Space time raster dataset archive <%s> not found") % input) if not create and not os.path.exists(directory): gscript.fatal(_("Extraction directory <%s> not found") % directory) tar = tarfile.open(name=input, mode='r') # Check for important files msgr = get_tgis_message_interface() msgr.message(_("Checking validity of input file (size: %0.1f MB). Make take a while..." % (os.path.getsize(input)/(1024*1024.0)))) members = tar.getnames() # Make sure that the basenames of the files are used for comparison member_basenames = [os.path.basename(name) for name in members] if init_file_name not in member_basenames: gscript.fatal(_("Unable to find init file <%s>") % init_file_name) if list_file_name not in member_basenames: gscript.fatal(_("Unable to find list file <%s>") % list_file_name) if proj_file_name not in member_basenames: gscript.fatal(_("Unable to find projection file <%s>") % proj_file_name) msgr.message(_("Extracting data...")) tar.extractall(path=directory) tar.close() # We use a new list file name for map registration new_list_file_name = list_file_name + "_new" # Save current working directory path old_cwd = os.getcwd() # Switch into the data directory os.chdir(directory) # Check projection information if not location: temp_name = gscript.tempfile() temp_file = open(temp_name, "w") proj_name = os.path.abspath(proj_file_name) # We need to convert projection strings generated # from other programms than g.proj into # new line format so that the grass file comparison function # can be used to compare the projections proj_name_tmp = temp_name + "_in_projection" proj_file = open(proj_name, "r") proj_content = proj_file.read() proj_content = proj_content.replace(" +", "\n+") proj_content = proj_content.replace("\t+", "\n+") proj_file.close() proj_file = open(proj_name_tmp, "w") proj_file.write(proj_content) proj_file.close() p = gscript.start_command("g.proj", flags="j", stdout=temp_file) p.communicate() temp_file.close() if not gscript.compare_key_value_text_files(temp_name, proj_name_tmp, sep="="): if overr: gscript.warning(_("Projection information does not match. " "Proceeding...")) else: diff = ''.join(gscript.diff_files(temp_name, proj_name)) gscript.warning(_("Difference between PROJ_INFO file of " "imported map and of current location:" "\n{diff}").format(diff=diff)) gscript.fatal(_("Projection information does not match. " "Aborting.")) # Create a new location based on the projection information and switch # into it old_env = gscript.gisenv() if location: try: proj4_string = open(proj_file_name, 'r').read() gscript.create_location(dbase=old_env["GISDBASE"], location=location, proj4=proj4_string) # Just create a new location and return if create: os.chdir(old_cwd) return except Exception as e: gscript.fatal(_("Unable to create location %(l)s. Reason: %(e)s") % {'l': location, 'e': str(e)}) # Switch to the new created location try: gscript.run_command("g.mapset", mapset="PERMANENT", location=location, dbase=old_env["GISDBASE"]) except CalledModuleError: gscript.fatal(_("Unable to switch to location %s") % location) # create default database connection try: gscript.run_command("t.connect", flags="d") except CalledModuleError: gscript.fatal(_("Unable to create default temporal database " "in new location %s") % location) try: # Make sure the temporal database exists factory.init() fs = "|" maplist = [] mapset = get_current_mapset() list_file = open(list_file_name, "r") new_list_file = open(new_list_file_name, "w") # get number of lines to correctly form the suffix max_count = -1 for max_count, l in enumerate(list_file): pass max_count += 1 list_file.seek(0) # Read the map list from file line_count = 0 while True: line = list_file.readline() if not line: break line_list = line.split(fs) # The filename is actually the base name of the map # that must be extended by the file suffix filename = line_list[0].strip().split(":")[0] if base: mapname = "%s_%s" % (base, gscript.get_num_suffix(line_count + 1, max_count)) mapid = "%s@%s" % (mapname, mapset) else: mapname = filename mapid = mapname + "@" + mapset row = {} row["filename"] = filename row["name"] = mapname row["id"] = mapid row["start"] = line_list[1].strip() row["end"] = line_list[2].strip() new_list_file.write("%s%s%s%s%s\n" % (mapname, fs, row["start"], fs, row["end"])) maplist.append(row) line_count += 1 list_file.close() new_list_file.close() # Read the init file fs = "=" init = {} init_file = open(init_file_name, "r") while True: line = init_file.readline() if not line: break kv = line.split(fs) init[kv[0]] = kv[1].strip() init_file.close() if "temporal_type" not in init or \ "semantic_type" not in init or \ "number_of_maps" not in init: gscript.fatal(_("Key words %(t)s, %(s)s or %(n)s not found in init" " file.") % {'t': "temporal_type", 's': "semantic_type", 'n': "number_of_maps"}) if line_count != int(init["number_of_maps"]): gscript.fatal(_("Number of maps mismatch in init and list file.")) format_ = "GTiff" type_ = "strds" if "stds_type" in init: type_ = init["stds_type"] if "format" in init: format_ = init["format"] if stds_type != type_: gscript.fatal(_("The archive file is of wrong space time dataset" " type")) # Check the existence of the files if format_ == "GTiff": for row in maplist: filename = row["filename"] + ".tif" if not os.path.exists(filename): gscript.fatal(_("Unable to find GeoTIFF raster file " "<%s> in archive.") % filename) elif format_ == "AAIGrid": for row in maplist: filename = row["filename"] + ".asc" if not os.path.exists(filename): gscript.fatal(_("Unable to find AAIGrid raster file " "<%s> in archive.") % filename) elif format_ == "GML": for row in maplist: filename = row["filename"] + ".xml" if not os.path.exists(filename): gscript.fatal(_("Unable to find GML vector file " "<%s> in archive.") % filename) elif format_ == "pack": for row in maplist: if type_ == "stvds": filename = str(row["filename"].split(":")[0]) + ".pack" else: filename = row["filename"] + ".pack" if not os.path.exists(filename): gscript.fatal(_("Unable to find GRASS package file " "<%s> in archive.") % filename) else: gscript.fatal(_("Unsupported input format")) # Check the space time dataset id = output + "@" + mapset sp = dataset_factory(type_, id) if sp.is_in_db() and gscript.overwrite() is False: gscript.fatal(_("Space time %(t)s dataset <%(sp)s> is already in" " the database. Use the overwrite flag.") % {'t': type_, 'sp': sp.get_id()}) # Import the maps if type_ == "strds": if format_ == "GTiff" or format_ == "AAIGrid": _import_raster_maps_from_gdal(maplist, overr, exp, location, link, format_, set_current_region) if format_ == "pack": _import_raster_maps(maplist, set_current_region) elif type_ == "stvds": if format_ == "GML": _import_vector_maps_from_gml( maplist, overr, exp, location, link) if format_ == "pack": _import_vector_maps(maplist) # Create the space time dataset if sp.is_in_db() and gscript.overwrite() is True: gscript.info(_("Overwrite space time %(sp)s dataset " "<%(id)s> and unregister all maps.") % {'sp': sp.get_new_map_instance(None).get_type(), 'id': sp.get_id()}) sp.delete() sp = sp.get_new_instance(id) temporal_type = init["temporal_type"] semantic_type = init["semantic_type"] relative_time_unit = None if temporal_type == "relative": if "relative_time_unit" not in init: gscript.fatal(_("Key word %s not found in init file.") % ("relative_time_unit")) relative_time_unit = init["relative_time_unit"] sp.set_relative_time_unit(relative_time_unit) gscript.verbose(_("Create space time %s dataset.") % sp.get_new_map_instance(None).get_type()) sp.set_initial_values(temporal_type=temporal_type, semantic_type=semantic_type, title=title, description=descr) sp.insert() # register the maps fs = "|" register_maps_in_space_time_dataset( type=sp.get_new_map_instance(None).get_type(), name=output, file=new_list_file_name, start="file", end="file", unit=relative_time_unit, dbif=None, fs=fs, update_cmd_list=False) os.chdir(old_cwd) except: raise # Make sure the location is switched back correctly finally: if location: # Switch to the old location try: gscript.run_command("g.mapset", mapset=old_env["MAPSET"], location=old_env["LOCATION_NAME"], gisdbase=old_env["GISDBASE"]) except CalledModuleError: grass.warning(_("Switching to original location failed")) gscript.set_raise_on_error(old_state)

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