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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:
- >>> import grass.temporal as tgis
- >>> # Create the temporal database
- >>> tgis.create_temporal_database()
- >>> # 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()
- (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 grass.script.core as core
- ###############################################################################
- # The chosen DBMI back-end can be defined on runtime
- # Check the grass environment before import
- core.run_command("t.connect", flags="c")
- kv = core.parse_command("t.connect", flags="pg")
- if "driver" in kv:
- if kv["driver"] == "sqlite":
- import sqlite3 as dbmi
- elif kv["driver"] == "pg":
- import psycopg2 as dbmi
- # Needed for dictionary like cursors
- import psycopg2.extras
- else:
- core.fatal(_("Unable to initialize the temporal DBMI interface. Use t.connect to specify the driver and the database string"))
- else:
- # Use the default sqlite variable
- core.run_command("t.connect", flags="d")
- import sqlite3 as dbmi
- ###############################################################################
- def get_temporal_dbmi_init_string():
- kv = core.parse_command("t.connect", flags="pg")
- grassenv = core.gisenv()
- if dbmi.__name__ == "sqlite3":
- 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 dbmi.__name__ == "psycopg2":
- 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"))
- return "dbname=grass_test user=soeren password=abcdefgh"
- ###############################################################################
- def get_sql_template_path():
- base = os.getenv("GISBASE")
- base_etc = os.path.join(base, "etc")
- return os.path.join(base_etc, "sql")
- ###############################################################################
- def create_temporal_database():
- """!This function creates the grass location database structure for raster, vector and raster3d maps
- as well as for the space-time datasets strds, str3ds and stvds
- This functions must be called before any spatio-temporal processing can be started
- """
- database = get_temporal_dbmi_init_string()
- db_exists = False
- # Check if the database already exists
- if dbmi.__name__ == "sqlite3":
- # Check path of the sqlite database
- if os.path.exists(database):
- db_exists = True
- elif dbmi.__name__ == "psycopg2":
- # 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]
- 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()
- 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()
- # 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")
- # Connect to database
- connection = dbmi.connect(database)
- cursor = connection.cursor()
- if dbmi.__name__ == "sqlite3":
- 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(vector_tables_sql)
- cursor.executescript(vector_metadata_sql)
- cursor.executescript(raster3d_tables_sql)
- cursor.executescript(raster3d_metadata_sql)
- # Create the tables for the new space-time datatypes
- cursor.executescript(strds_tables_sql)
- cursor.executescript(strds_metadata_sql)
- cursor.executescript(stvds_tables_sql)
- cursor.executescript(stvds_metadata_sql)
- cursor.executescript(str3ds_tables_sql)
- cursor.executescript(str3ds_metadata_sql)
- cursor.executescript(sqlite3_delete_trigger_sql)
- elif dbmi.__name__ == "psycopg2":
- # 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(vector_tables_sql)
- cursor.execute(vector_metadata_sql)
- cursor.execute(raster3d_tables_sql)
- cursor.execute(raster3d_metadata_sql)
- # Create the tables for the new space-time datatypes
- cursor.execute(strds_tables_sql)
- cursor.execute(strds_metadata_sql)
- cursor.execute(stvds_tables_sql)
- cursor.execute(stvds_metadata_sql)
- cursor.execute(str3ds_tables_sql)
- cursor.execute(str3ds_metadata_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
- 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 dbmi.__name__ == "sqlite3":
- self.connection = dbmi.connect(init, detect_types=dbmi.PARSE_DECLTYPES | dbmi.PARSE_COLNAMES)
- self.connection.row_factory = 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 dbmi.__name__ == "psycopg2":
- self.connection = dbmi.connect(init)
- #self.connection.set_isolation_level(dbmi.extensions.ISOLATION_LEVEL_AUTOCOMMIT)
- self.cursor = self.connection.cursor(
- cursor_factory=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
- """
- sql = content[0]
- args = content[1]
- if 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 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
- """
- connect = False
- if self.connected == False:
- self.connect()
- connect = True
- sql_script = ""
- sql_script += "BEGIN TRANSACTION;\n"
- sql_script += statement
- sql_script += "END TRANSACTION;"
- try:
- if dbmi.__name__ == "sqlite3":
- self.cursor.executescript(statement)
- else:
- self.cursor.execute(statement)
- self.connection.commit()
- except:
- if connect == True:
- self.close()
- core.error(_("Unable to execute transaction:\n %s") % (statement))
- raise
- if connect:
- 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:
- dbif, connect = tgis.init_dbif(dbif)
- if connect:
- dbif.close()
- """
- 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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