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- """!@package grass.temporal
- @brief GRASS Python scripting module (temporal GIS functions)
- Temporal GIS core functions to be used in library modules and scripts.
- This module provides the functionality to create the temporal
- SQL database and to establish a connection to the database.
- Usage:
- @code
- >>> import grass.temporal as tgis
- >>> # Create the temporal database
- >>> tgis.init()
- >>> # Establish a database connection
- >>> dbif, connected = tgis.init_dbif(None)
- >>> dbif.connect()
- >>> # Execute a SQL statement
- >>> dbif.execute_transaction("SELECT datetime(0, 'unixepoch', 'localtime');")
- >>> # Mogrify an SQL statement
- >>> dbif.mogrify_sql_statement(["SELECT name from raster_base where name = ?",
- ... ("precipitation",)])
- "SELECT name from raster_base where name = 'precipitation'"
- >>> dbif.close()
- @endcode
- (C) 2008-2011 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.
- @author Soeren Gebbert
- """
- import os
- import copy
- import sys
- import grass.script.core as core
- # Import all supported database backends
- # Ignore import errors since they are checked later
- try:
- import sqlite3
- except ImportError:
- pass
- # Postgresql is optional, existence is checked when needed
- try:
- import psycopg2
- import psycopg2.extras
- except:
- pass
- # Global variable that defines the backend
- # of the temporal GIS
- # It can either be "sqlite" or "pg"
- tgis_backed = None
- # The version of the temporal framework
- tgis_version="1.0"
- ###############################################################################
- def get_tgis_version():
- """!Get the verion number of the temporal framework
- @return The version number of the temporal framework as string
- """
- global tgis_version
- return tgis_version
- ###############################################################################
- def get_temporal_dbmi_init_string():
- kv = core.parse_command("t.connect", flags="pg")
- grassenv = core.gisenv()
- global tgis_backed
- if tgis_backed == "sqlite":
- if "database" in kv:
- string = kv["database"]
- string = string.replace("$GISDBASE", grassenv["GISDBASE"])
- string = string.replace(
- "$LOCATION_NAME", grassenv["LOCATION_NAME"])
- return string
- else:
- core.fatal(_("Unable to initialize the temporal GIS DBMI "
- "interface. Use t.connect to specify the driver "
- "and the database string"))
- elif tgis_backed == "pg":
- if "database" in kv:
- string = kv["database"]
- return string
- else:
- core.fatal(_("Unable to initialize the temporal GIS DBMI "
- "interface. Use t.connect to specify the driver "
- "and the database string"))
- ###############################################################################
- # This variable specifies if the ctypes interface to the grass
- # libraries should be used to read map specific data. If set to False
- # the grass scripting library will be used to get map informations.
- # The advantage of the ctypes inteface is speed, the disadvantage is that
- # the GRASS C functions may call G_fatal_error() which exits the process.
- # That is not catchable in Python.
- use_ctypes_map_access = True
- def set_use_ctypes_map_access(use_ctype = True):
- """!Define the map access method for the temporal GIS library
-
- Using ctypes to read map metadata is much faster
- then using the grass.script interface that calls grass modules.
- The disadvantage is that GRASS C-library function will call
- G_fatal_error() that will exit the calling process.
- GUI developer should set this flag to False.
- @param use_ctype True use ctypes interface, False use grass.script interface
- """
- global use_ctypes_map_access
- use_ctypes_map_access = use_ctype
- ###############################################################################
- def get_use_ctypes_map_access():
- """!Return true if ctypes is used for map access """
- global use_ctypes_map_access
- return use_ctypes_map_access
- ###############################################################################
- def get_sql_template_path():
- base = os.getenv("GISBASE")
- base_etc = os.path.join(base, "etc")
- return os.path.join(base_etc, "sql")
- ###############################################################################
- def init():
- """!This function set the correct database backend from the environmental variables
- and creates the grass location database structure for raster,
- vector and raster3d maps as well as for the space-time datasets strds,
- str3ds and stvds in case it not exists.
- ATTENTION: This functions must be called before any spatio-temporal processing
- can be started
- """
- # We need to set the correct database backend from the environment variables
- global tgis_backed
- global has_command_column
-
- core.run_command("t.connect", flags="c")
- kv = core.parse_command("t.connect", flags="pg")
-
- if "driver" in kv:
- if kv["driver"] == "sqlite":
- tgis_backed = kv["driver"]
- try:
- import sqlite3
- except ImportError:
- core.error("Unable to locate the sqlite SQL Python interface module sqlite3.")
- raise
- dbmi = sqlite3
- elif kv["driver"] == "pg":
- tgis_backed = kv["driver"]
- try:
- import psycopg2
- except ImportError:
- core.error("Unable to locate the Postgresql SQL Python interface module psycopg2.")
- raise
- dbmi = psycopg2
- else:
- core.fatal(_("Unable to initialize the temporal DBMI interface. Use "
- "t.connect to specify the driver and the database string"))
- dbmi = sqlite3
- else:
- # Set the default sqlite3 connection in case nothing was defined
- core.run_command("t.connect", flags="d")
-
- database = get_temporal_dbmi_init_string()
- db_exists = False
- # Check if the database already exists
- if tgis_backed == "sqlite":
- # Check path of the sqlite database
- if os.path.exists(database):
- # Connect to database
- connection = dbmi.connect(database)
- cursor = connection.cursor()
- # Check for raster_base table
- cursor.execute("SELECT name FROM sqlite_master WHERE type='table' AND name='raster_base';")
-
- name = cursor.fetchone()[0]
- if name == "raster_base":
- db_exists = True
-
- # Try to add the command column to the space time dataset metadata tables
- try:
- cursor.execute('ALTER TABLE strds_metadata ADD COLUMN command VARCHAR;')
- except:
- pass
- try:
- cursor.execute('ALTER TABLE str3ds_metadata ADD COLUMN command VARCHAR;')
- except:
- pass
- try:
- cursor.execute('ALTER TABLE stvds_metadata ADD COLUMN command VARCHAR;')
- except:
- pass
-
- connection.commit()
- cursor.close()
-
- elif tgis_backed == "pg":
- # Connect to database
- connection = dbmi.connect(database)
- cursor = connection.cursor()
- # Check for raster_base table
- cursor.execute("SELECT EXISTS(SELECT * FROM information_schema.tables "
- "WHERE table_name=%s)", ('raster_base',))
- db_exists = cursor.fetchone()[0]
-
- if db_exists:
- # Try to add the command column to the space time dataset metadata tables
- try:
- cursor.execute('ALTER TABLE strds_metadata ADD COLUMN command VARCHAR;')
- except:
- pass
- try:
- cursor.execute('ALTER TABLE str3ds_metadata ADD COLUMN command VARCHAR;')
- except:
- pass
- try:
- cursor.execute('ALTER TABLE stvds_metadata ADD COLUMN command VARCHAR;')
- except:
- pass
-
- connection.commit()
- cursor.close()
- if db_exists == True:
- return
- core.message(_("Create temporal database: %s" % (database)))
- # Read all SQL scripts and templates
- map_tables_template_sql = open(os.path.join(
- get_sql_template_path(), "map_tables_template.sql"), 'r').read()
- raster_metadata_sql = open(os.path.join(
- get_sql_template_path(), "raster_metadata_table.sql"), 'r').read()
- raster3d_metadata_sql = open(os.path.join(get_sql_template_path(
- ), "raster3d_metadata_table.sql"), 'r').read()
- vector_metadata_sql = open(os.path.join(
- get_sql_template_path(), "vector_metadata_table.sql"), 'r').read()
- raster_views_sql = open(os.path.join(
- get_sql_template_path(), "raster_views.sql"), 'r').read()
- raster3d_views_sql = open(os.path.join(get_sql_template_path(
- ), "raster3d_views.sql"), 'r').read()
- vector_views_sql = open(os.path.join(
- get_sql_template_path(), "vector_views.sql"), 'r').read()
- stds_tables_template_sql = open(os.path.join(
- get_sql_template_path(), "stds_tables_template.sql"), 'r').read()
- strds_metadata_sql = open(os.path.join(
- get_sql_template_path(), "strds_metadata_table.sql"), 'r').read()
- str3ds_metadata_sql = open(os.path.join(
- get_sql_template_path(), "str3ds_metadata_table.sql"), 'r').read()
- stvds_metadata_sql = open(os.path.join(
- get_sql_template_path(), "stvds_metadata_table.sql"), 'r').read()
- strds_views_sql = open(os.path.join(
- get_sql_template_path(), "strds_views.sql"), 'r').read()
- str3ds_views_sql = open(os.path.join(
- get_sql_template_path(), "str3ds_views.sql"), 'r').read()
- stvds_views_sql = open(os.path.join(
- get_sql_template_path(), "stvds_views.sql"), 'r').read()
- # Create the raster, raster3d and vector tables
- raster_tables_sql = map_tables_template_sql.replace("GRASS_MAP", "raster")
- vector_tables_sql = map_tables_template_sql.replace("GRASS_MAP", "vector")
- raster3d_tables_sql = map_tables_template_sql.replace(
- "GRASS_MAP", "raster3d")
- # Create the space-time raster, raster3d and vector dataset tables
- strds_tables_sql = stds_tables_template_sql.replace("STDS", "strds")
- stvds_tables_sql = stds_tables_template_sql.replace("STDS", "stvds")
- str3ds_tables_sql = stds_tables_template_sql.replace("STDS", "str3ds")
- if tgis_backed == "sqlite":
-
- # We need to create the sqlite3 database path if it does not exists
- tgis_dir = os.path.dirname(database)
- if not os.path.exists(tgis_dir):
- os.makedirs(tgis_dir)
-
- # Connect to database
- connection = dbmi.connect(database)
- cursor = connection.cursor()
- sqlite3_delete_trigger_sql = open(os.path.join(get_sql_template_path(
- ), "sqlite3_delete_trigger.sql"), 'r').read()
- # Execute the SQL statements for sqlite
- # Create the global tables for the native grass datatypes
- cursor.executescript(raster_tables_sql)
- cursor.executescript(raster_metadata_sql)
- cursor.executescript(raster_views_sql)
- cursor.executescript(vector_tables_sql)
- cursor.executescript(vector_metadata_sql)
- cursor.executescript(vector_views_sql)
- cursor.executescript(raster3d_tables_sql)
- cursor.executescript(raster3d_metadata_sql)
- cursor.executescript(raster3d_views_sql)
- # Create the tables for the new space-time datatypes
- cursor.executescript(strds_tables_sql)
- cursor.executescript(strds_metadata_sql)
- cursor.executescript(strds_views_sql)
- cursor.executescript(stvds_tables_sql)
- cursor.executescript(stvds_metadata_sql)
- cursor.executescript(stvds_views_sql)
- cursor.executescript(str3ds_tables_sql)
- cursor.executescript(str3ds_metadata_sql)
- cursor.executescript(str3ds_views_sql)
- cursor.executescript(sqlite3_delete_trigger_sql)
- elif tgis_backed == "pg":
- # Connect to database
- connection = dbmi.connect(database)
- cursor = connection.cursor()
- # Execute the SQL statements for postgresql
- # Create the global tables for the native grass datatypes
- cursor.execute(raster_tables_sql)
- cursor.execute(raster_metadata_sql)
- cursor.execute(raster_views_sql)
- cursor.execute(vector_tables_sql)
- cursor.execute(vector_metadata_sql)
- cursor.execute(vector_views_sql)
- cursor.execute(raster3d_tables_sql)
- cursor.execute(raster3d_metadata_sql)
- cursor.execute(raster3d_views_sql)
- # Create the tables for the new space-time datatypes
- cursor.execute(strds_tables_sql)
- cursor.execute(strds_metadata_sql)
- cursor.execute(strds_views_sql)
- cursor.execute(stvds_tables_sql)
- cursor.execute(stvds_metadata_sql)
- cursor.execute(stvds_views_sql)
- cursor.execute(str3ds_tables_sql)
- cursor.execute(str3ds_metadata_sql)
- cursor.execute(str3ds_views_sql)
- connection.commit()
- cursor.close()
- ###############################################################################
- class SQLDatabaseInterfaceConnection():
- """!This class represents the database interface connection
- The following DBMS are supported:
- - sqlite via the sqlite3 standard library
- - postgresql via psycopg2
- """
- def __init__(self):
- self.connected = False
- global tgis_backend
- if tgis_backed == "sqlite":
- self.dbmi = sqlite3
- else:
- self.dbmi = psycopg2
- def connect(self):
- """!Connect to the DBMI to execute SQL statements
- Supported backends are sqlite3 and postgresql
- """
- init = get_temporal_dbmi_init_string()
- #print "Connect to", self.database
- if self.dbmi.__name__ == "sqlite3":
- self.connection = self.dbmi.connect(init,
- detect_types = self.dbmi.PARSE_DECLTYPES | self.dbmi.PARSE_COLNAMES)
- self.connection.row_factory = self.dbmi.Row
- self.connection.isolation_level = None
- self.cursor = self.connection.cursor()
- self.cursor.execute("PRAGMA synchronous = OFF")
- self.cursor.execute("PRAGMA journal_mode = MEMORY")
- elif self.dbmi.__name__ == "psycopg2":
- self.connection = self.dbmi.connect(init)
- #self.connection.set_isolation_level(dbmi.extensions.ISOLATION_LEVEL_AUTOCOMMIT)
- self.cursor = self.connection.cursor(
- cursor_factory = self.dbmi.extras.DictCursor)
- self.connected = True
- def close(self):
- """!Close the DBMI connection"""
- #print "Close connection to", self.database
- self.connection.commit()
- self.cursor.close()
- self.connected = False
- def mogrify_sql_statement(self, content):
- """!Return the SQL statement and arguments as executable SQL string
-
- @param content The content as tuple with two entries, the first
- entry is the SQL statement with DBMI specific
- place holder (?), the second entry is the argument
- list that should substitue the place holder.
-
- Usage:
-
- @code
-
- >>> init()
- >>> dbif = SQLDatabaseInterfaceConnection()
- >>> dbif.mogrify_sql_statement(["SELECT ctime FROM raster_base WHERE id = ?",
- ... ["soil@PERMANENT",]])
- "SELECT ctime FROM raster_base WHERE id = 'soil@PERMANENT'"
-
- @endcode
- """
- sql = content[0]
- args = content[1]
-
- if self.dbmi.__name__ == "psycopg2":
- if len(args) == 0:
- return sql
- else:
- if self.connected:
- try:
- return self.cursor.mogrify(sql, args)
- except:
- print sql, args
- raise
- else:
- self.connect()
- statement = self.cursor.mogrify(sql, args)
- self.close()
- return statement
- elif self.dbmi.__name__ == "sqlite3":
- if len(args) == 0:
- return sql
- else:
- # Unfortunately as sqlite does not support
- # the transformation of sql strings and qmarked or
- # named arguments we must make our hands dirty
- # and do it by ourself. :(
- # Doors are open for SQL injection because of the
- # limited python sqlite3 implementation!!!
- pos = 0
- count = 0
- maxcount = 100
- statement = sql
- while count < maxcount:
- pos = statement.find("?", pos + 1)
- if pos == -1:
- break
- if args[count] is None:
- statement = "%sNULL%s" % (statement[0:pos],
- statement[pos + 1:])
- elif isinstance(args[count], (int, long)):
- statement = "%s%d%s" % (statement[0:pos], args[count],
- statement[pos + 1:])
- elif isinstance(args[count], float):
- statement = "%s%f%s" % (statement[0:pos], args[count],
- statement[pos + 1:])
- else:
- # Default is a string, this works for datetime
- # objects too
- statement = "%s\'%s\'%s" % (statement[0:pos],
- str(args[count]),
- statement[pos + 1:])
- count += 1
- return statement
- def execute_transaction(self, statement):
- """!Execute a transactional SQL statement
- The BEGIN and END TRANSACTION statements will be added automatically
- to the sql statement
- @param statement The executable SQL statement or SQL script
- """
- connected = False
- if not self.connected:
- self.connect()
- connected = True
- sql_script = ""
- sql_script += "BEGIN TRANSACTION;\n"
- sql_script += statement
- sql_script += "END TRANSACTION;"
-
- try:
- if self.dbmi.__name__ == "sqlite3":
- self.cursor.executescript(statement)
- else:
- self.cursor.execute(statement)
- self.connection.commit()
- except:
- if connected:
- self.close()
- core.error(_("Unable to execute transaction:\n %(sql)s" % \
- {"sql":statement}))
- raise
- if connected:
- self.close()
- ###############################################################################
- def init_dbif(dbif):
- """!This method checks if the database interface connection exists,
- if not a new one will be created, connected and True will be returned
- Usage code sample:
- @code
-
- dbif, connect = tgis.init_dbif(None)
-
- sql = dbif.mogrify_sql_statement(["SELECT * FROM raster_base WHERE ? = ?"],
- ["id", "soil@PERMANENT"])
- dbif.execute_transaction(sql)
-
- if connect:
- dbif.close()
-
- @endcode
- """
- if dbif is None:
- dbif = SQLDatabaseInterfaceConnection()
- dbif.connect()
- return dbif, True
- return dbif, False
- ###############################################################################
- if __name__ == "__main__":
- import doctest
- doctest.testmod()
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