Ron,

This is for Microsoft SQL Server databases. To extract models from MySQL 
use the extract_mysql_models.py script from the scripts 
folder: 
https://github.com/web2py/web2py/blob/master/scripts/extract_mysql_models.py 

On Saturday, June 18, 2016 at 12:53:07 PM UTC-5, Ron Chatterjee wrote:
>
> Little clarification: 
>
>  name of the dbase: "nameofmydb". Port is 80. username is root and no 
> password. What would the equivalent call to this routine? I did this but 
> didn't get any results:
>
> python extract_mysql_models.py nameofmydb localhost 80 root > db_model.py
>
> Am I missing anything? But I do the following in python and it works fine. 
>
>
> import MySQLdb
> import sys
> import os
>
> try:
>     db = MySQLdb.connect(host = 'localhost',user ='root',passwd = '',db = 
> 'nameofmydb')
> except Exception as e:
>     sys.exit('we cant get into the db');
>     
> cursor = db.cursor()
> #Lets put some values into the db
> cursor.execute('INSERT INTO catagory(name,id,text) VALUES("Peggy", "2", 
> "Missing Tom here")') 
>
> #lets fetch and output
> cursor.execute('SELECT *FROM catagory')
> results = cursor.fetchall()
> print results
>
>
>  >>>(('Peggy', 2L, 'Missing Tom here'))
>
>
>
> I do get a db_model.py but its says the following:
>
> USAGE: extract_mssql_models db host port user passwd
> Call with SQL Server database connection parameters,
> web2py model will be printed on standard output.
> EXAMPLE: python extract_mssql_models.py mydb localhost 3306 kflanaga pass
> or
> python extract_mssql_models.py mydb localhost 3306 kflanaga pass > 
> db_model.py
>
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> On Saturday, June 18, 2016 at 9:12:17 AM UTC-4, Massimo Di Pierro wrote:
>>
>> Nice. In trunk!
>>
>> On Thursday, 16 June 2016 16:54:20 UTC-5, Kyle Flanagan wrote:
>>>
>>> I needed the ability to extract a DAL model from SQL Server. I based the 
>>> script below on extract_pgsql_models by Mariano Reingart, based in turn on 
>>> a script to "generate schemas from dbs" (mysql) by Alexandre Andrade. I'm 
>>> posting it here in hopes that it will be useful for others.
>>>
>>> Tested on Windows 7 on a SQL Server 2012 database. Make sure to replace 
>>> "mssql4://..." with the appropriate connection string if using a legacy SQL 
>>> Server database. You might also need to modify the pyodbc.connect 
>>> connection string driver to match a driver on your local PC.
>>>
>>> """Create web2py model (python code) to represent MS SQL Server tables.
>>> Features:
>>> * Uses ANSI Standard INFORMATION_SCHEMA (might work with other RDBMS)
>>> * Detects legacy "keyed" tables (not having an "id" PK)
>>> * Handles 'funny' column names. web2py requires all column names be valid 
>>> python identifiers. This script uses rname
>>> *   for column names that have spaces or are otherwise invalid python 
>>> identifiers.
>>> * Connects directly to running databases, no need to do a SQL dump
>>> * Handles notnull, unique and referential constraints
>>> * Detects most common datatypes and default values
>>> * Supports running from the command line as well as from an IDE's debug 
>>> menu. See the COMMAND_LINE_MODE constant below
>>> *   for more info.
>>>
>>> Requirements:
>>> * Needs pyodbc python connector
>>>
>>> Created by Kyle Flanagan. Based on a script by Mariano Reingart which was
>>> based on a script to "generate schemas from dbs" (mysql) by Alexandre 
>>> Andrade
>>> """
>>>
>>> _author__ = "Kyle Flanagan <[email protected]>"
>>>
>>> HELP = """
>>> USAGE: extract_mssql_models db host port user passwd
>>> Call with SQL Server database connection parameters,
>>> web2py model will be printed on standard output.
>>> EXAMPLE: python extract_mssql_models.py mydb localhost 3306 kflanaga pass
>>> or
>>> python extract_mssql_models.py mydb localhost 3306 kflanaga pass > 
>>> db_model.py
>>> """
>>>
>>> # Config options
>>> DEBUG = False  # print debug messages to STDERR
>>> SCHEMA = 'dbo'
>>> COMMAND_LINE_MODE = True  # running from command prompt. Disable to specify 
>>> variables and use in IDE
>>> DB = None
>>> HOST = None
>>> USER = None
>>> PASSWD = None
>>> PORT = None
>>>
>>> # Constant for Field keyword parameter order (and filter):
>>> KWARGS = ('type', 'length', 'default', 'required', 'ondelete',
>>>           'notnull', 'unique', 'label', 'comment', 'rname')
>>>
>>> import sys
>>> import re
>>> # This is from pydal/helpers/regex.py as of 2016-06-16
>>> # Use this to recognize if a field name need to have an rname representation
>>> REGEX_VALID_TB_FLD = re.compile(r'^[^\d_][_0-9a-zA-Z]*\Z')
>>> # For replacing invalid characters in field names
>>> INVALID_CHARS = re.compile(r'[^a-zA-Z0-9_]')
>>>
>>>
>>> def get_valid_column_name(field):
>>>     """Return a valid column name that follows Python's rules for 
>>> identifiers, which is what web2py requires for column
>>>     names. Replaces invalid characters with underscores and leading digits 
>>> with their associated English word."""
>>>     if not REGEX_VALID_TB_FLD.match(field):
>>>         # If the first character is a digit, replace it with its word 
>>> counterpart
>>>         if re.match(r'^[0-9]', field):
>>>             numbers = ['Zero', 'One', 'Two', 'Three', 'Four',
>>>                        'Five', 'Six', 'Seven', 'Eight', 'Nine']
>>>             field = numbers[int(field[0])] + field[1:]
>>>
>>>         field = INVALID_CHARS.sub('_', field)
>>>     return field
>>>
>>>
>>> def query(conn, sql, *args):
>>>     "Execute a SQL query and return rows as a list of dicts"
>>>     cur = conn.cursor()
>>>     ret = []
>>>     try:
>>>         if DEBUG: print >> sys.stderr, "QUERY: ", sql % args
>>>         cur.execute(sql % args)
>>>         for row in cur:
>>>             dic = {}
>>>             for i, value in enumerate(row):
>>>                 field = cur.description[i][0]
>>>                 dic[field] = value
>>>             if DEBUG: print >> sys.stderr, "RET: ", dic
>>>             ret.append(dic)
>>>         return ret
>>>     finally:
>>>         cur.close()
>>>
>>>
>>> def get_tables(conn, schema=SCHEMA):
>>>     "List table names in a given schema"
>>>     rows = query(conn, """SELECT table_name FROM information_schema.tables
>>>         WHERE table_schema = '%s'
>>>         ORDER BY table_name""", schema)
>>>     return [row['table_name'] for row in rows]
>>>
>>>
>>> def get_fields(conn, table):
>>>     "Retrieve field list for a given table"
>>>     if DEBUG: print >> sys.stderr, "Processing TABLE", table
>>>     rows = query(conn, """
>>>         SELECT column_name, data_type,
>>>             is_nullable,
>>>             character_maximum_length,
>>>             numeric_precision, numeric_precision_radix, numeric_scale,
>>>             column_default
>>>         FROM information_schema.columns
>>>         WHERE table_name='%s'
>>>         ORDER BY ordinal_position""", table)
>>>     return rows
>>>
>>>
>>> def define_field(conn, table, field, pks):
>>>     "Determine field type, default value, references, etc."
>>>     f = {}
>>>     ref = references(conn, table, field['column_name'])
>>>     if ref:
>>>         f.update(ref)
>>>     elif field['column_default'] and \
>>>             field['column_default'].startswith("nextval") and \
>>>                     field['column_name'] in pks:
>>>         f['type'] = "'id'"
>>>     elif field['data_type'].startswith('character'):
>>>         f['type'] = "'string'"
>>>         if field['character_maximum_length']:
>>>             f['length'] = field['character_maximum_length']
>>>     elif field['data_type'] in ('text', 'ntext'):
>>>         f['type'] = "'text'"
>>>     elif field['data_type'] in ('boolean', 'bit'):
>>>         f['type'] = "'boolean'"
>>>     elif field['data_type'] in ('tinyint', 'smallint', 'bigint', 'int'):
>>>         f['type'] = "'integer'"
>>>     elif field['data_type'] in ('real', 'float'):
>>>         f['type'] = "'double'"
>>>     elif field['data_type'] in ('datetime', 'datetime2', 'smalldatetime'):
>>>         f['type'] = "'datetime'"
>>>     elif field['data_type'] in ('timestamp',):
>>>         f['type'] = "'datetime'"
>>>         f['default'] = "request.now"
>>>         f['update'] = "request.now"
>>>     elif field['data_type'] in ('date',):
>>>         f['type'] = "'date'"
>>>     elif field['data_type'] in ('time',):
>>>         f['type'] = "'time'"
>>>     elif field['data_type'] in ('numeric', 'money', 'smallmoney', 
>>> 'decimal'):
>>>         f['type'] = "'decimal'"
>>>         f['precision'] = field['numeric_precision']
>>>         f['scale'] = field['numeric_scale'] or 0
>>>     elif field['data_type'] in ('binary', 'varbinary', 'image'):
>>>         f['type'] = "'blob'"
>>>     elif field['data_type'] in ('point', 'lseg', 'polygon', 'unknown', 
>>> 'USER-DEFINED', 'sql_variant'):
>>>         f['type'] = ""  # unsupported?
>>>     elif field['data_type'] in ('varchar', 'char', 'nchar', 'nvarchar', 
>>> 'uniqueidentifer'):
>>>         f['type'] = "'string'"
>>>     else:
>>>         raise RuntimeError("Data Type not supported: %s " % str(field))
>>>
>>>     try:
>>>         if field['column_default']:
>>>             if field['column_default'] == "now()":
>>>                 d = "request.now"
>>>             elif field['column_default'] == "true":
>>>                 d = "True"
>>>             elif field['column_default'] == "false":
>>>                 d = "False"
>>>             else:
>>>                 d = repr(eval(field['column_default']))
>>>             f['default'] = str(d)
>>>     except (ValueError, SyntaxError):
>>>         pass
>>>     except Exception, e:
>>>         raise RuntimeError("Default unsupported '%s'" % 
>>> field['column_default'])
>>>
>>>     if not field['is_nullable']:
>>>         f['notnull'] = "True"
>>>
>>>     # For field names that are not valid python identifiers, we need to add 
>>> a reference to their actual name
>>>     # in the back end database
>>>     if not REGEX_VALID_TB_FLD.match(field['column_name']):
>>>         f['rname'] = "'[%s]'" % field['column_name']
>>>
>>>     return f
>>>
>>>
>>> def is_unique(conn, table, field):
>>>     "Find unique columns (incomplete support)"
>>>     rows = query(conn, """
>>>         SELECT c.column_name
>>>         FROM information_schema.table_constraints t
>>>         INNER JOIN information_schema.constraint_column_usage c
>>>         ON (t.CONSTRAINT_CATALOG =    c.CONSTRAINT_CATALOG
>>>             AND t.CONSTRAINT_NAME =   c.CONSTRAINT_NAME
>>>             AND t.CONSTRAINT_SCHEMA = c.CONSTRAINT_SCHEMA
>>>             AND t.TABLE_CATALOG =     c.TABLE_CATALOG
>>>             AND t.TABLE_NAME =        c.TABLE_NAME
>>>             AND t.TABLE_SCHEMA =      c.TABLE_SCHEMA)
>>>         WHERE t.table_name='%s'
>>>           AND c.column_name='%s'
>>>           AND t.constraint_type='UNIQUE'
>>>         ;""", table, field['column_name'])
>>>     return rows and True or False
>>>
>>>
>>> def primarykeys(conn, table):
>>>     "Find primary keys"
>>>     rows = query(conn, """
>>>         SELECT c.column_name
>>>         FROM information_schema.table_constraints t
>>>         INNER JOIN information_schema.constraint_column_usage c
>>>                 ON (t.CONSTRAINT_CATALOG =    c.CONSTRAINT_CATALOG
>>>             AND t.CONSTRAINT_NAME =   c.CONSTRAINT_NAME
>>>             AND t.CONSTRAINT_SCHEMA = c.CONSTRAINT_SCHEMA
>>>             AND t.TABLE_CATALOG =     c.TABLE_CATALOG
>>>             AND t.TABLE_NAME =        c.TABLE_NAME
>>>             AND t.TABLE_SCHEMA =      c.TABLE_SCHEMA)
>>>         WHERE t.table_name='%s'
>>>           AND t.constraint_type='PRIMARY KEY'
>>>         ;""", table)
>>>     return [row['column_name'] for row in rows]
>>>
>>>
>>> def references(conn, table, field):
>>>     "Find a FK (fails if multiple)"
>>>     rows1 = query(conn, """
>>>         SELECT k.table_name, k.column_name, k.constraint_name,
>>>                r.update_rule, r.delete_rule, k.ordinal_position
>>>         FROM information_schema.key_column_usage k
>>>         INNER JOIN information_schema.referential_constraints r
>>>         ON (k.CONSTRAINT_CATALOG =    r.CONSTRAINT_CATALOG
>>>             AND k.CONSTRAINT_NAME =   r.CONSTRAINT_NAME
>>>             AND k.CONSTRAINT_SCHEMA = r.CONSTRAINT_SCHEMA)
>>>         INNER JOIN information_schema.table_constraints t
>>>         ON (r.CONSTRAINT_CATALOG =    t.CONSTRAINT_CATALOG
>>>             AND r.CONSTRAINT_NAME =   t.CONSTRAINT_NAME
>>>             AND r.CONSTRAINT_SCHEMA = t.CONSTRAINT_SCHEMA)
>>>
>>>         WHERE k.table_name='%s'
>>>           AND k.column_name='%s'
>>>           AND t.constraint_type='FOREIGN KEY'
>>>           ;""", table, field)
>>>     if len(rows1) == 1:
>>>         rows2 = query(conn, """
>>>             SELECT table_name, column_name, *
>>>             FROM information_schema.constraint_column_usage
>>>             WHERE constraint_name='%s'
>>>             """, rows1[0]['constraint_name'])
>>>         row = None
>>>         if len(rows2) > 1:
>>>             row = rows2[int(rows1[0]['ordinal_position']) - 1]
>>>             keyed = True
>>>         if len(rows2) == 1:
>>>             row = rows2[0]
>>>             keyed = False
>>>         if row:
>>>             if keyed:  # THIS IS BAD, DON'T MIX "id" and primarykey!!!
>>>                 ref = {'type': "'reference %s.%s'" % (row['table_name'],
>>>                                                       row['column_name'])}
>>>             else:
>>>                 ref = {'type': "'reference %s'" % (row['table_name'],)}
>>>             if rows1[0]['delete_rule'] != "NO ACTION":
>>>                 ref['ondelete'] = repr(rows1[0]['delete_rule'])
>>>             return ref
>>>         elif rows2:
>>>             raise RuntimeError("Unsupported foreign key reference: %s" %
>>>                                str(rows2))
>>>
>>>     elif rows1:
>>>         raise RuntimeError("Unsupported referential constraint: %s" %
>>>                            str(rows1))
>>>
>>>
>>> def define_table(conn, table):
>>>     "Output single table definition"
>>>     fields = get_fields(conn, table)
>>>     pks = primarykeys(conn, table)
>>>     print "db.define_table('%s'," % (table,)
>>>     for field in fields:
>>>         fname = field['column_name']
>>>         fdef = define_field(conn, table, field, pks)
>>>         if fname not in pks and is_unique(conn, table, field):
>>>             fdef['unique'] = "True"
>>>         if fdef['type'] == "'id'" and fname in pks:
>>>             pks.pop(pks.index(fname))
>>>         print "    Field('%s', %s)," % (get_valid_column_name(fname),
>>>                                         ', '.join(["%s=%s" % (k, fdef[k]) 
>>> for k in KWARGS
>>>                                                    if k in fdef and 
>>> fdef[k]]))
>>>     if pks:
>>>         print "    primarykey=[%s]," % ", ".join(["'%s'" % pk for pk in 
>>> pks])
>>>     print     "    migrate=migrate)"
>>>     print
>>>
>>>
>>> def define_db(conn, db, host, port, user, passwd):
>>>     "Output database definition (model)"
>>>     dal = 'db = DAL("mssql4://%s:%s@%s:%s/%s", pool_size=10, 
>>> decode_credentials=True)'
>>>     print dal % (
>>>         user.replace('@', '%40').replace(':', '%3A'), passwd.replace('@', 
>>> '%40').replace(':', '%3A'), host, port, db)
>>>     print
>>>     print "migrate = False"
>>>     print
>>>     for table in get_tables(conn):
>>>         define_table(conn, table)
>>>
>>>
>>> if __name__ == "__main__":
>>>     # Parse arguments from command line:
>>>     if len(sys.argv) < 6 and COMMAND_LINE_MODE:
>>>         print HELP
>>>     else:
>>>         # Parse arguments from command line:
>>>         if COMMAND_LINE_MODE:
>>>             db, host, port, user, passwd = sys.argv[1:6]
>>>         else:
>>>             db = DB
>>>             host = HOST
>>>             user = USER
>>>             passwd = PASSWD
>>>             port = PORT
>>>
>>>         # Make the database connection (change driver if required)
>>>         import pyodbc
>>>         # cnn = pyodbc.connect(database=db, host=host, port=port,
>>>         #                        user=user, password=passwd,
>>>         #                        )
>>>         cnn = pyodbc.connect(
>>>             r'DRIVER={{SQL Server Native Client 
>>> 11.0}};SERVER={server};PORT={port};DATABASE={db};UID={user};PWD={passwd}'.format(
>>>                 server=host, port=port, db=db, user=user, passwd=passwd)
>>>         )
>>>         # Start model code generation:
>>>         define_db(cnn, db, host, port, user, passwd)
>>>
>>>

-- 
Resources:
- http://web2py.com
- http://web2py.com/book (Documentation)
- http://github.com/web2py/web2py (Source code)
- https://code.google.com/p/web2py/issues/list (Report Issues)
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