Update Google App Engine to 1.2.2 in thirdparty folder.
#!/usr/bin/env python
#
# Copyright 2007 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
"""GQL -- the SQL-like interface to the datastore.
Defines the GQL-based query class, which is a query mechanism
for the datastore which provides an alternative model for interacting with
data stored.
"""
import calendar
import datetime
import logging
import re
import time
from google.appengine.api import datastore
from google.appengine.api import datastore_errors
from google.appengine.api import datastore_types
from google.appengine.api import users
MultiQuery = datastore.MultiQuery
LOG_LEVEL = logging.DEBUG - 1
_EPOCH = datetime.datetime.utcfromtimestamp(0)
def Execute(query_string, *args, **keyword_args):
"""Execute command to parse and run the query.
Calls the query parser code to build a proto-query which is an
unbound query. The proto-query is then bound into a real query and
executed.
Args:
query_string: properly formatted GQL query string.
args: rest of the positional arguments used to bind numeric references in
the query.
keyword_args: dictionary-based arguments (for named parameters).
Returns:
the result of running the query with *args.
"""
app = keyword_args.pop('_app', None)
proto_query = GQL(query_string, _app=app)
return proto_query.Bind(args, keyword_args).Run()
class GQL(object):
"""A GQL interface to the datastore.
GQL is a SQL-like language which supports more object-like semantics
in a langauge that is familiar to SQL users. The language supported by
GQL will change over time, but will start off with fairly simple
semantics.
- reserved words are case insensitive
- names are case sensitive
The syntax for SELECT is fairly straightforward:
SELECT [* | __key__ ] FROM <entity>
[WHERE <condition> [AND <condition> ...]]
[ORDER BY <property> [ASC | DESC] [, <property> [ASC | DESC] ...]]
[LIMIT [<offset>,]<count>]
[OFFSET <offset>]
[HINT (ORDER_FIRST | HINT FILTER_FIRST | HINT ANCESTOR_FIRST)]
<condition> := <property> {< | <= | > | >= | = | != | IN} <value>
<condition> := <property> {< | <= | > | >= | = | != | IN} CAST(<value>)
<condition> := <property> IN (<value>, ...)
<condition> := ANCESTOR IS <entity or key>
Currently the parser is LL(1) because of the simplicity of the grammer
(as it is largely predictive with one token lookahead).
The class is implemented using some basic regular expression tokenization
to pull out reserved tokens and then the recursive descent parser will act
as a builder for the pre-compiled query. This pre-compiled query is then
bound to arguments before executing the query.
Initially, three parameter passing mechanisms are supported when calling
Execute():
- Positional parameters
Execute('SELECT * FROM Story WHERE Author = :1 AND Date > :2')
- Named parameters
Execute('SELECT * FROM Story WHERE Author = :author AND Date > :date')
- Literals (numbers, and strings)
Execute('SELECT * FROM Story WHERE Author = \'James\'')
Users are also given the option of doing type conversions to other datastore
types (e.g. db.Email, db.GeoPt). The language provides a conversion function
which allows the caller to express conversions of both literals and
parameters. The current conversion operators are:
- GEOPT(float, float)
- USER(str)
- KEY(kind, id/name[, kind, id/name...])
- DATETIME(year, month, day, hour, minute, second)
- DATETIME('YYYY-MM-DD HH:MM:SS')
- DATE(year, month, day)
- DATE('YYYY-MM-DD')
- TIME(hour, minute, second)
- TIME('HH:MM:SS')
We will properly serialize and quote all values.
It should also be noted that there are some caveats to the queries that can
be expressed in the syntax. The parser will attempt to make these clear as
much as possible, but some of the caveats include:
- There is no OR operation. In most cases, you should prefer to use IN to
express the idea of wanting data matching one of a set of values.
- You cannot express inequality operators on multiple different properties
- You can only have one != operator per query (related to the previous
rule).
- The IN and != operators must be used carefully because they can
dramatically raise the amount of work done by the datastore. As such,
there is a limit on the number of elements you can use in IN statements.
This limit is set fairly low. Currently, a max of 30 datastore queries is
allowed in a given GQL query. != translates into 2x the number of
datastore queries, and IN multiplies by the number of elements in the
clause (so having two IN clauses, one with 5 elements, the other with 6
will cause 30 queries to occur).
- Literals can take the form of basic types or as type-cast literals. On
the other hand, literals within lists can currently only take the form of
simple types (strings, integers, floats).
SELECT * will return an iterable set of entities; SELECT __key__ will return
an iterable set of Keys.
"""
TOKENIZE_REGEX = re.compile(r"""
(?:'[^'\n\r]*')+|
<=|>=|!=|=|<|>|
:\w+|
,|
\*|
-?\d+(?:\.\d+)?|
\w+|
\(|\)|
\S+
""", re.VERBOSE | re.IGNORECASE)
MAX_ALLOWABLE_QUERIES = datastore.MAX_ALLOWABLE_QUERIES
__ANCESTOR = -1
def __init__(self, query_string, _app=None, _auth_domain=None):
"""Ctor.
Parses the input query into the class as a pre-compiled query, allowing
for a later call to Bind() to bind arguments as defined in the
documentation.
Args:
query_string: properly formatted GQL query string.
Raises:
datastore_errors.BadQueryError: if the query is not parsable.
"""
self._entity = ''
self.__filters = {}
self.__has_ancestor = False
self.__orderings = []
self.__offset = -1
self.__limit = -1
self.__hint = ''
self.__app = _app
self.__auth_domain = _auth_domain
self.__symbols = self.TOKENIZE_REGEX.findall(query_string)
self.__next_symbol = 0
if not self.__Select():
raise datastore_errors.BadQueryError(
'Unable to parse query')
else:
pass
def Bind(self, args, keyword_args):
"""Bind the existing query to the argument list.
Assumes that the input args are first positional, then a dictionary.
So, if the query contains references to :1, :2 and :name, it is assumed
that arguments are passed as (:1, :2, dict) where dict contains a mapping
[name] -> value.
Args:
args: the arguments to bind to the object's unbound references.
keyword_args: dictionary-based arguments (for named parameters).
Raises:
datastore_errors.BadArgumentError: when arguments are left unbound
(missing from the inputs arguments) or when arguments do not match the
expected type.
Returns:
The bound datastore.Query object. This may take the form of a MultiQuery
object if the GQL query will require multiple backend queries to statisfy.
"""
num_args = len(args)
input_args = frozenset(xrange(num_args))
used_args = set()
queries = []
enumerated_queries = self.EnumerateQueries(used_args, args, keyword_args)
if enumerated_queries:
query_count = len(enumerated_queries)
else:
query_count = 1
for i in xrange(query_count):
queries.append(datastore.Query(self._entity, _app=self.__app,
keys_only=self._keys_only))
logging.log(LOG_LEVEL,
'Binding with %i positional args %s and %i keywords %s'
, len(args), args, len(keyword_args), keyword_args)
for ((identifier, condition), value_list) in self.__filters.iteritems():
for (operator, params) in value_list:
value = self.__Operate(args, keyword_args, used_args, operator, params)
if not self.__IsMultiQuery(condition):
for query in queries:
self.__AddFilterToQuery(identifier, condition, value, query)
unused_args = input_args - used_args
if unused_args:
unused_values = [unused_arg + 1 for unused_arg in unused_args]
raise datastore_errors.BadArgumentError('Unused positional arguments %s' %
unused_values)
if enumerated_queries:
logging.log(LOG_LEVEL,
'Multiple Queries Bound: %s',
enumerated_queries)
for (query, enumerated_query) in zip(queries, enumerated_queries):
query.update(enumerated_query)
if self.__orderings:
for query in queries:
query.Order(*tuple(self.__orderings))
if query_count > 1:
return MultiQuery(queries, self.__orderings)
else:
return queries[0]
def EnumerateQueries(self, used_args, args, keyword_args):
"""Create a list of all multi-query filter combinations required.
To satisfy multi-query requests ("IN" and "!=" filters), multiple queries
may be required. This code will enumerate the power-set of all multi-query
filters.
Args:
used_args: set of used positional parameters (output only variable used in
reporting for unused positional args)
args: positional arguments referenced by the proto-query in self. This
assumes the input is a tuple (and can also be called with a varargs
param).
keyword_args: dict of keyword arguments referenced by the proto-query in
self.
Returns:
A list of maps [(identifier, condition) -> value] of all queries needed
to satisfy the GQL query with the given input arguments.
"""
enumerated_queries = []
for ((identifier, condition), value_list) in self.__filters.iteritems():
for (operator, params) in value_list:
value = self.__Operate(args, keyword_args, used_args, operator, params)
self.__AddMultiQuery(identifier, condition, value, enumerated_queries)
return enumerated_queries
def __CastError(self, operator, values, error_message):
"""Query building error for type cast operations.
Args:
operator: the failed cast operation
values: value list passed to the cast operator
error_message: string to emit as part of the 'Cast Error' string.
Raises:
BadQueryError and passes on an error message from the caller. Will raise
BadQueryError on all calls.
"""
raise datastore_errors.BadQueryError(
'Type Cast Error: unable to cast %r with operation %s (%s)' %
(values, operator.upper(), error_message))
def __CastNop(self, values):
"""Return values[0] if it exists -- default for most where clauses."""
if len(values) != 1:
self.__CastError(values, 'nop', 'requires one and only one value')
else:
return values[0]
def __CastList(self, values):
"""Return the full list of values -- only useful for IN clause."""
if values:
return values
else:
return None
def __CastKey(self, values):
"""Cast input values to Key() class using encoded string or tuple list."""
if not len(values) % 2:
return datastore_types.Key.from_path(_app=self.__app, *values)
elif len(values) == 1 and isinstance(values[0], basestring):
return datastore_types.Key(values[0])
else:
self.__CastError('KEY', values,
'requires an even number of operands '
'or a single encoded string')
def __CastGeoPt(self, values):
"""Cast input to GeoPt() class using 2 input parameters."""
if len(values) != 2:
self.__CastError('GEOPT', values, 'requires 2 input parameters')
return datastore_types.GeoPt(*values)
def __CastUser(self, values):
"""Cast to User() class using the email address in values[0]."""
if len(values) != 1:
self.__CastError(values, 'user', 'requires one and only one value')
else:
return users.User(email=values[0], _auth_domain=self.__auth_domain)
def __EncodeIfNeeded(self, value):
"""Simple helper function to create an str from possibly unicode strings.
Args:
value: input string (should pass as an instance of str or unicode).
"""
if isinstance(value, unicode):
return value.encode('utf8')
else:
return value
def __CastDate(self, values):
"""Cast DATE values (year/month/day) from input (to datetime.datetime).
Casts DATE input values formulated as ISO string or time tuple inputs.
Args:
values: either a single string with ISO time representation or 3
integer valued date tuple (year, month, day).
Returns:
datetime.datetime value parsed from the input values.
"""
if len(values) == 1:
value = self.__EncodeIfNeeded(values[0])
if isinstance(value, str):
try:
time_tuple = time.strptime(value, '%Y-%m-%d')[0:6]
except ValueError, err:
self.__CastError('DATE', values, err)
else:
self.__CastError('DATE', values, 'Single input value not a string')
elif len(values) == 3:
time_tuple = (values[0], values[1], values[2], 0, 0, 0)
else:
self.__CastError('DATE', values,
'function takes 1 string or 3 integer values')
try:
return datetime.datetime(*time_tuple)
except ValueError, err:
self.__CastError('DATE', values, err)
def __CastTime(self, values):
"""Cast TIME values (hour/min/sec) from input (to datetime.datetime).
Casts TIME input values formulated as ISO string or time tuple inputs.
Args:
values: either a single string with ISO time representation or 1-4
integer valued time tuple (hour), (hour, minute),
(hour, minute, second), (hour, minute, second, microsec).
Returns:
datetime.datetime value parsed from the input values.
"""
if len(values) == 1:
value = self.__EncodeIfNeeded(values[0])
if isinstance(value, str):
try:
time_tuple = time.strptime(value, '%H:%M:%S')
except ValueError, err:
self.__CastError('TIME', values, err)
time_tuple = (1970, 1, 1) + time_tuple[3:]
time_tuple = time_tuple[0:6]
elif isinstance(value, int):
time_tuple = (1970, 1, 1, value)
else:
self.__CastError('TIME', values,
'Single input value not a string or integer hour')
elif len(values) <= 4:
time_tuple = (1970, 1, 1) + tuple(values)
else:
self.__CastError('TIME', values, err)
try:
return datetime.datetime(*time_tuple)
except ValueError, err:
self.__CastError('TIME', values, err)
def __CastDatetime(self, values):
"""Cast DATETIME values (string or tuple) from input (to datetime.datetime).
Casts DATETIME input values formulated as ISO string or datetime tuple
inputs.
Args:
values: either a single string with ISO representation or 3-7
integer valued time tuple (year, month, day, ...).
Returns:
datetime.datetime value parsed from the input values.
"""
if len(values) == 1:
value = self.__EncodeIfNeeded(values[0])
if isinstance(value, str):
try:
time_tuple = time.strptime(str(value), '%Y-%m-%d %H:%M:%S')[0:6]
except ValueError, err:
self.__CastError('DATETIME', values, err)
else:
self.__CastError('DATETIME', values, 'Single input value not a string')
else:
time_tuple = values
try:
return datetime.datetime(*time_tuple)
except ValueError, err:
self.__CastError('DATETIME', values, err)
def __Operate(self, args, keyword_args, used_args, operator, params):
"""Create a single output value from params using the operator string given.
Args:
args,keyword_args: arguments passed in for binding purposes (used in
binding positional and keyword based arguments).
used_args: set of numeric arguments accessed in this call.
values are ints representing used zero-based positional arguments.
used as an output parameter with new used arguments appended to the
list.
operator: string representing the operator to use 'nop' just returns
the first value from params.
params: parameter list to operate on (positional references, named
references, or literals).
Returns:
A value which can be used as part of a GQL filter description (either a
list of datastore types -- for use with IN, or a single datastore type --
for use with other filters).
"""
if not params:
return None
param_values = []
for param in params:
if isinstance(param, Literal):
value = param.Get()
else:
value = self.__GetParam(param, args, keyword_args)
if isinstance(param, int):
used_args.add(param - 1)
logging.log(LOG_LEVEL, 'found param for bind: %s value: %s',
param, value)
param_values.append(value)
logging.log(LOG_LEVEL, '%s Operating on values: %s',
operator, repr(param_values))
if operator in self.__cast_operators:
result = self.__cast_operators[operator](self, param_values)
else:
self.__Error('Operation %s is invalid' % operator)
return result
def __IsMultiQuery(self, condition):
"""Return whether or not this condition could require multiple queries."""
return condition.lower() in ('in', '!=')
def __GetParam(self, reference, args, keyword_args):
"""Get the specified parameter from the input arguments.
Args:
reference: id for a filter reference in the filter list (string or
number)
args: positional args passed in by the user (tuple of arguments, indexed
numerically by "reference")
keyword_args: dict of keyword based arguments (strings in "reference")
Returns:
The specified param from the input list.
Raises:
BadArgumentError if the referenced argument doesn't exist.
"""
num_args = len(args)
if isinstance(reference, int):
if reference <= num_args:
return args[reference - 1]
else:
raise datastore_errors.BadArgumentError(
'Missing argument for bind, requires argument #%i, '
'but only has %i args.' % (reference, num_args))
elif isinstance(reference, basestring):
if reference in keyword_args:
return keyword_args[reference]
else:
raise datastore_errors.BadArgumentError(
'Missing named arguments for bind, requires argument %s' %
reference)
else:
assert False, 'Unknown reference %s' % reference
def __AddMultiQuery(self, identifier, condition, value, enumerated_queries):
"""Helper function to add a muti-query to previously enumerated queries.
Args:
identifier: property being filtered by this condition
condition: filter condition (e.g. !=,in)
value: value being bound
enumerated_queries: in/out list of already bound queries -> expanded list
with the full enumeration required to satisfy the condition query
Raises:
BadArgumentError if the filter is invalid (namely non-list with IN)
"""
if condition.lower() in ('!=', 'in') and self._keys_only:
raise datastore_errors.BadQueryError(
'Keys only queries do not support IN or != filters.')
def CloneQueries(queries, n):
"""Do a full copy of the queries and append to the end of the queries.
Does an in-place replication of the input list and sorts the result to
put copies next to one-another.
Args:
queries: list of all filters to clone
n: number of copies to make
Returns:
Number of iterations needed to fill the structure
"""
if not enumerated_queries:
for i in xrange(n):
queries.append({})
return 1
else:
old_size = len(queries)
tmp_queries = []
for i in xrange(n - 1):
[tmp_queries.append(filter_map.copy()) for filter_map in queries]
queries.extend(tmp_queries)
queries.sort()
return old_size
if condition == '!=':
if len(enumerated_queries) * 2 > self.MAX_ALLOWABLE_QUERIES:
raise datastore_errors.BadArgumentError(
'Cannot satisfy query -- too many IN/!= values.')
num_iterations = CloneQueries(enumerated_queries, 2)
for i in xrange(num_iterations):
enumerated_queries[2 * i]['%s <' % identifier] = value
enumerated_queries[2 * i + 1]['%s >' % identifier] = value
elif condition.lower() == 'in':
if not isinstance(value, list):
raise datastore_errors.BadArgumentError('List expected for "IN" filter')
in_list_size = len(value)
if len(enumerated_queries) * in_list_size > self.MAX_ALLOWABLE_QUERIES:
raise datastore_errors.BadArgumentError(
'Cannot satisfy query -- too many IN/!= values.')
num_iterations = CloneQueries(enumerated_queries, in_list_size)
for clone_num in xrange(num_iterations):
for value_num in xrange(len(value)):
list_val = value[value_num]
query_num = in_list_size * clone_num + value_num
filt = '%s =' % identifier
enumerated_queries[query_num][filt] = list_val
def __AddFilterToQuery(self, identifier, condition, value, query):
"""Add a filter condition to a query based on the inputs.
Args:
identifier: name of the property (or self.__ANCESTOR for ancestors)
condition: test condition
value: test value passed from the caller
query: query to add the filter to
"""
if identifier != self.__ANCESTOR:
filter_condition = '%s %s' % (identifier, condition)
logging.log(LOG_LEVEL, 'Setting filter on "%s" with value "%s"',
filter_condition, value.__class__)
datastore._AddOrAppend(query, filter_condition, value)
else:
logging.log(LOG_LEVEL, 'Setting ancestor query for ancestor %s', value)
query.Ancestor(value)
def Run(self, *args, **keyword_args):
"""Runs this query.
Similar to datastore.Query.Run.
Assumes that limit == -1 or > 0
Args:
args: arguments used to bind to references in the compiled query object.
keyword_args: dictionary-based arguments (for named parameters).
Returns:
A list of results if a query count limit was passed.
A result iterator if no limit was given.
"""
bind_results = self.Bind(args, keyword_args)
offset = 0
if self.__offset != -1:
offset = self.__offset
if self.__limit == -1:
it = bind_results.Run()
try:
for i in xrange(offset):
it.next()
except StopIteration:
pass
return it
else:
res = bind_results.Get(self.__limit, offset)
return res
def filters(self):
"""Return the compiled list of filters."""
return self.__filters
def hint(self):
"""Return the datastore hint."""
return self.__hint
def limit(self):
"""Return numerical result count limit."""
return self.__limit
def orderings(self):
"""Return the result ordering list."""
return self.__orderings
__iter__ = Run
__result_type_regex = re.compile(r'(\*|__key__)')
__quoted_string_regex = re.compile(r'((?:\'[^\'\n\r]*\')+)')
__ordinal_regex = re.compile(r':(\d+)$')
__named_regex = re.compile(r':(\w+)$')
__identifier_regex = re.compile(r'(\w+)$')
__conditions_regex = re.compile(r'(<=|>=|!=|=|<|>|is|in)$', re.IGNORECASE)
__number_regex = re.compile(r'(\d+)$')
__cast_regex = re.compile(
r'(geopt|user|key|date|time|datetime)$', re.IGNORECASE)
__cast_operators = {
'geopt': __CastGeoPt,
'user': __CastUser,
'key': __CastKey,
'datetime': __CastDatetime,
'date': __CastDate,
'time': __CastTime,
'list': __CastList,
'nop': __CastNop,
}
def __Error(self, error_message):
"""Generic query error.
Args:
error_message: string to emit as part of the 'Parse Error' string.
Raises:
BadQueryError and passes on an error message from the caller. Will raise
BadQueryError on all calls to __Error()
"""
if self.__next_symbol >= len(self.__symbols):
raise datastore_errors.BadQueryError(
'Parse Error: %s at end of string' % error_message)
else:
raise datastore_errors.BadQueryError(
'Parse Error: %s at symbol %s' %
(error_message, self.__symbols[self.__next_symbol]))
def __Accept(self, symbol_string):
"""Advance the symbol and return true iff the next symbol matches input."""
if self.__next_symbol < len(self.__symbols):
logging.log(LOG_LEVEL, '\t%s', self.__symbols)
logging.log(LOG_LEVEL, '\tExpect: %s Got: %s',
symbol_string, self.__symbols[self.__next_symbol].upper())
if self.__symbols[self.__next_symbol].upper() == symbol_string:
self.__next_symbol += 1
return True
return False
def __Expect(self, symbol_string):
"""Require that the next symbol matches symbol_string, or emit an error.
Args:
symbol_string: next symbol expected by the caller
Raises:
BadQueryError if the next symbol doesn't match the parameter passed in.
"""
if not self.__Accept(symbol_string):
self.__Error('Unexpected Symbol: %s' % symbol_string)
def __AcceptRegex(self, regex):
"""Advance and return the symbol if the next symbol matches the regex.
Args:
regex: the compiled regular expression to attempt acceptance on.
Returns:
The first group in the expression to allow for convenient access
to simple matches. Requires () around some objects in the regex.
None if no match is found.
"""
if self.__next_symbol < len(self.__symbols):
match_symbol = self.__symbols[self.__next_symbol]
logging.log(LOG_LEVEL, '\taccept %s on symbol %s', regex, match_symbol)
match = regex.match(match_symbol)
if match:
self.__next_symbol += 1
if match.groups():
matched_string = match.group(1)
logging.log(LOG_LEVEL, '\taccepted %s', matched_string)
return matched_string
return None
def __AcceptTerminal(self):
"""Only accept an empty string.
Returns:
True
Raises:
BadQueryError if there are unconsumed symbols in the query.
"""
if self.__next_symbol < len(self.__symbols):
self.__Error('Expected no additional symbols')
return True
def __Select(self):
"""Consume the SELECT clause and everything that follows it.
Assumes SELECT * to start.
Transitions to a FROM clause.
Returns:
True if parsing completed okay.
"""
self.__Expect('SELECT')
result_type = self.__AcceptRegex(self.__result_type_regex)
self._keys_only = (result_type == '__key__')
return self.__From()
def __From(self):
"""Consume the FROM clause.
Assumes a single well formed entity in the clause.
Assumes FROM <Entity Name>
Transitions to a WHERE clause.
Returns:
True if parsing completed okay.
"""
self.__Expect('FROM')
entity = self.__AcceptRegex(self.__identifier_regex)
if entity:
self._entity = entity
return self.__Where()
else:
self.__Error('Identifier Expected')
return False
def __Where(self):
"""Consume the WHERE cluase.
These can have some recursion because of the AND symbol.
Returns:
True if parsing the WHERE clause completed correctly, as well as all
subsequent clauses
"""
if self.__Accept('WHERE'):
return self.__FilterList()
return self.__OrderBy()
def __FilterList(self):
"""Consume the filter list (remainder of the WHERE clause)."""
identifier = self.__AcceptRegex(self.__identifier_regex)
if not identifier:
self.__Error('Invalid WHERE Identifier')
return False
condition = self.__AcceptRegex(self.__conditions_regex)
if not condition:
self.__Error('Invalid WHERE Condition')
return False
self.__CheckFilterSyntax(identifier, condition)
if not self.__AddSimpleFilter(identifier, condition, self.__Reference()):
if not self.__AddSimpleFilter(identifier, condition, self.__Literal()):
type_cast = self.__TypeCast()
if (not type_cast or
not self.__AddProcessedParameterFilter(identifier, condition,
*type_cast)):
self.__Error('Invalid WHERE condition')
if self.__Accept('AND'):
return self.__FilterList()
return self.__OrderBy()
def __GetValueList(self):
"""Read in a list of parameters from the tokens and return the list.
Reads in a set of tokens, but currently only accepts literals, positional
parameters, or named parameters. Or empty list if nothing was parsed.
Returns:
A list of values parsed from the input, with values taking the form of
strings (unbound, named reference), integers (unbound, positional
reference), or Literal() (bound value usable directly as part of a filter
with no additional information).
"""
params = []
while True:
reference = self.__Reference()
if reference:
params.append(reference)
else:
literal = self.__Literal()
if literal:
params.append(literal)
else:
self.__Error('Parameter list requires literal or reference parameter')
if not self.__Accept(','):
break
return params
def __CheckFilterSyntax(self, identifier, condition):
"""Check that filter conditions are valid and throw errors if not.
Args:
identifier: identifier being used in comparison
condition: string form of the comparison operator used in the filter
"""
if identifier.lower() == 'ancestor':
if condition.lower() == 'is':
if self.__has_ancestor:
self.__Error('Only one ANCESTOR IS" clause allowed')
else:
self.__Error('"IS" expected to follow "ANCESTOR"')
elif condition.lower() == 'is':
self.__Error('"IS" can only be used when comparing against "ANCESTOR"')
def __AddProcessedParameterFilter(self, identifier, condition,
operator, parameters):
"""Add a filter with post-processing required.
Args:
identifier: property being compared.
condition: comparison operation being used with the property (e.g. !=).
operator: operation to perform on the parameters before adding the filter.
parameters: list of bound parameters passed to 'operator' before creating
the filter. When using the parameters as a pass-through, pass 'nop'
into the operator field and the first value will be used unprocessed).
Returns:
True if the filter was okay to add.
"""
if parameters is None:
return False
if parameters[0] is None:
return False
logging.log(LOG_LEVEL, 'Adding Filter %s %s %s',
identifier, condition, repr(parameters))
filter_rule = (identifier, condition)
if identifier.lower() == 'ancestor':
self.__has_ancestor = True
filter_rule = (self.__ANCESTOR, 'is')
assert condition.lower() == 'is'
if condition.lower() != 'in' and operator == 'list':
self.__Error('Only IN can process a list of values')
self.__filters.setdefault(filter_rule, []).append((operator, parameters))
return True
def __AddSimpleFilter(self, identifier, condition, parameter):
"""Add a filter to the query being built (no post-processing on parameter).
Args:
identifier: identifier being used in comparison
condition: string form of the comparison operator used in the filter
parameter: ID of the reference being made or a value of type Literal
Returns:
True if the filter could be added.
False otherwise.
"""
return self.__AddProcessedParameterFilter(identifier, condition,
'nop', [parameter])
def __Reference(self):
"""Consume a parameter reference and return it.
Consumes a reference to a positional parameter (:1) or a named parameter
(:email). Only consumes a single reference (not lists).
Returns:
The name of the reference (integer for positional parameters or string
for named parameters) to a bind-time parameter.
"""
logging.log(LOG_LEVEL, 'Try Reference')
reference = self.__AcceptRegex(self.__ordinal_regex)
if reference:
return int(reference)
else:
reference = self.__AcceptRegex(self.__named_regex)
if reference:
return reference
return None
def __Literal(self):
"""Parse literals from our token list.
Returns:
The parsed literal from the input string (currently either a string,
integer, or floating point value).
"""
logging.log(LOG_LEVEL, 'Try Literal')
literal = None
try:
literal = int(self.__symbols[self.__next_symbol])
except ValueError:
pass
else:
self.__next_symbol += 1
if literal is None:
try:
literal = float(self.__symbols[self.__next_symbol])
except ValueError:
pass
else:
self.__next_symbol += 1
if literal is None:
literal = self.__AcceptRegex(self.__quoted_string_regex)
if literal:
literal = literal[1:-1].replace("''", "'")
if literal is None:
if self.__Accept('TRUE'):
literal = True
elif self.__Accept('FALSE'):
literal = False
if literal is not None:
return Literal(literal)
else:
return None
def __TypeCast(self):
"""Check if the next operation is a type-cast and return the cast if so.
Casting operators look like simple function calls on their parameters. This
code returns the cast operator found and the list of parameters provided by
the user to complete the cast operation.
Returns:
A tuple (cast operator, params) which represents the cast operation
requested and the parameters parsed from the cast clause.
None - if there is no TypeCast function.
"""
logging.log(LOG_LEVEL, 'Try Type Cast')
cast_op = self.__AcceptRegex(self.__cast_regex)
if not cast_op:
if self.__Accept('('):
cast_op = 'list'
else:
return None
else:
cast_op = cast_op.lower()
self.__Expect('(')
params = self.__GetValueList()
self.__Expect(')')
logging.log(LOG_LEVEL, 'Got casting operator %s with params %s',
cast_op, repr(params))
return (cast_op, params)
def __OrderBy(self):
"""Consume the ORDER BY clause."""
if self.__Accept('ORDER'):
self.__Expect('BY')
return self.__OrderList()
return self.__Limit()
def __OrderList(self):
"""Consume variables and sort order for ORDER BY clause."""
identifier = self.__AcceptRegex(self.__identifier_regex)
if identifier:
if self.__Accept('DESC'):
self.__orderings.append((identifier, datastore.Query.DESCENDING))
elif self.__Accept('ASC'):
self.__orderings.append((identifier, datastore.Query.ASCENDING))
else:
self.__orderings.append((identifier, datastore.Query.ASCENDING))
else:
self.__Error('Invalid ORDER BY Property')
logging.log(LOG_LEVEL, self.__orderings)
if self.__Accept(','):
return self.__OrderList()
return self.__Limit()
def __Limit(self):
"""Consume the LIMIT clause."""
if self.__Accept('LIMIT'):
maybe_limit = self.__AcceptRegex(self.__number_regex)
if maybe_limit:
if self.__Accept(','):
self.__offset = int(maybe_limit)
if self.__offset < 0:
self.__Error('Bad offset in LIMIT Value')
else:
logging.log(LOG_LEVEL, 'Set offset to %i', self.__offset)
maybe_limit = self.__AcceptRegex(self.__number_regex)
self.__limit = int(maybe_limit)
if self.__limit < 1:
self.__Error('Bad Limit in LIMIT Value')
else:
logging.log(LOG_LEVEL, 'Set limit to %i', self.__limit)
else:
self.__Error('Non-number limit in LIMIT clause')
return self.__Offset()
def __Offset(self):
"""Consume the OFFSET clause."""
if self.__Accept('OFFSET'):
if self.__offset != -1:
self.__Error('Offset already defined in LIMIT clause')
offset = self.__AcceptRegex(self.__number_regex)
if offset:
self.__offset = int(offset)
if self.__offset < 0:
self.__Error('Bad offset in OFFSET clause')
else:
logging.log(LOG_LEVEL, 'Set offset to %i', self.__offset)
else:
self.__Error('Non-number offset in OFFSET clause')
return self.__Hint()
def __Hint(self):
"""Consume the HINT clause.
Requires one of three options (mirroring the rest of the datastore):
HINT ORDER_FIRST
HINT ANCESTOR_FIRST
HINT FILTER_FIRST
Returns:
True if the hint clause and later clauses all parsed okay
"""
if self.__Accept('HINT'):
if self.__Accept('ORDER_FIRST'):
self.__hint = 'ORDER_FIRST'
elif self.__Accept('FILTER_FIRST'):
self.__hint = 'FILTER_FIRST'
elif self.__Accept('ANCESTOR_FIRST'):
self.__hint = 'ANCESTOR_FIRST'
else:
self.__Error('Unknown HINT')
return False
return self.__AcceptTerminal()
class Literal(object):
"""Class for representing literal values in a way unique from unbound params.
This is a simple wrapper class around basic types and datastore types.
"""
def __init__(self, value):
self.__value = value
def Get(self):
"""Return the value of the literal."""
return self.__value
def __repr__(self):
return 'Literal(%s)' % repr(self.__value)