x G d& d'e= Z? G d( d)e> Z@ G d* d+e ZA G d, d-e ZB G d. d/eC ZD G d0 d1e Z G d2 d3 ZEdId4ZF G d5 d6 ZGdId7ZHd8 ZId9 ZJ G d: d; ZK dJd=ZL G d> d? ZMdKd@ZNdA ZOdLdCZPdMdDZQdE ZR ejS dF ejT dG z dHz ZUdS )NzMiscellaneous goodies for psycopg2
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.. __: https://docs.python.org/glossary.html#term-mapping
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= = = = =! ! !8 8 8 8 8 ) ) ) $ $ $ $ $+ + + r- rP c " e Zd ZdZ fdZ xZS )RealDictConnectionz6A connection that uses `RealDictCursor` automatically.c z | d| j pt t j |i |S rH )rJ rI RealDictCursorr$ r rL s r, r zRealDictConnection.cursor s= *D,?,Q>RRR uww~t.v...r- rM rD s @r, r r s> @@/ / / / / / / / /r- r c @ e Zd ZdZ fdZd fd Zd fd Zd Z xZS )r aQ A cursor that uses a real dict as the base type for rows.
Note that this cursor is extremely specialized and does not allow
the normal access (using integer indices) to fetched data. If you need
to access database rows both as a dictionary and a list, then use
the generic `DictCursor` instead of `!RealDictCursor`.
c N t |d< t j |i | d S )Nr" ) RealDictRowr$ r% rL s r, r% zRealDictCursor.__init__ s/ +} $)&)))))r- Nc d g | _ d| _ t || S rR )column_mappingr& r$ rT rU s r, rT zRealDictCursor.execute s+ # wwud+++r- c d g | _ d| _ t || S rR )r r& r$ rY rZ s r, rY zRealDictCursor.callproc s- # ww $///r- c d | j r&| j r!d | j D | _ d| _ d S d S d S )Nc g | ]
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ed Z xZS )r a A cursor that generates results as `~collections.namedtuple`.
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attributes.
>>> nt_cur = conn.cursor(cursor_factory=psycopg2.extras.NamedTupleCursor)
>>> rec = nt_cur.fetchone()
>>> rec
Record(id=1, num=100, data="abc'def")
>>> rec[1]
100
>>> rec.data
"abc'def"
Ni c V d | _ t || S r/ )Recordr$ rT rU s r, rT zNamedTupleCursor.execute6 s" wwud+++r- c V d | _ t || S r/ )r r$ executemanyrU s r, r z NamedTupleCursor.executemany: s$ ww""5$///r- c V d | _ t || S r/ )r r$ rY rZ s r, rY zNamedTupleCursor.callproc> s$ ww $///r- c t }|9| j }|| x}| _ | | S d S r/ )r$ r0 r _make_nt_make)r( tntr+ s r, r0 zNamedTupleCursor.fetchoneB sT GG =Bz#'==??2T[88A;; =r- c t | }| j }|| x}| _ t t |j | S r/ )r$ r6 r r listmapr )r( r7 tsr r+ s r, r6 zNamedTupleCursor.fetchmanyJ sT
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S )LoggingConnectionz~A connection that logs all queries to a file or logger__ object.
.. __: https://docs.python.org/library/logging.html
c || _ t r4t |t j t j f r| j | _ dS | j | _ dS )zInitialize the connection to log to `!logobj`.
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instance from the standard logging module.
N)_logobj_loggingrg Logger
LoggerAdapter _logtologgerlog
_logtofile)r( logobjs r,
initializez LoggingConnection.initialize sP '
(*@AC C '(DHHHDHHHr- c |S )zFilter the query before logging it.
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provide some extra filtering for the logged queries. Both the
`initialize()` and `filter()` methods are overwritten to make sure
that only queries executing for more than ``mintime`` ms are logged.
Note that this connection uses the specialized cursor
`MinTimeLoggingCursor`.
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sm EE < =>DF8E 8E 8E 8Ev( ( ( ( (r- r c * e Zd ZdZd Zd Zd Zd ZdS ) UUID_adapterzAdapt Python's uuid.UUID__ type to PostgreSQL's uuid__.
.. __: https://docs.python.org/library/uuid.html
.. __: https://www.postgresql.org/docs/current/static/datatype-uuid.html
c || _ d S r/ _uuid)r( uuids r, r% zUUID_adapter.__init__y
r- c & |t j u r| S d S r/ r ISQLQuoter( protos r, __conform__zUUID_adapter.__conform__| DN " "K # "r- c > d| j d d S )N''::uuidutf8)r? encoder{ s r, getquotedzUUID_adapter.getquoted s# 'DJ'''//777r- c d| j dS )NrJ rK r> r{ s r, __str__zUUID_adapter.__str__ s &4:&&&&r- N)r? r@ rA rB r% rG rN rP r r- r, r< r< r sZ 8 8 8' ' ' ' 'r- r< c ddl | sd}d}n&t | t t f r| \ }}n| }d}t j |fdfd t _ t j |fdt j t _ t j t j | t j t j | t j
j t t j S )aR Create the UUID type and an uuid.UUID adapter.
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standard oids.
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register it globally.
r Ni i UUIDc 6 | r | pd S r/ )rR )r r r@ s r, z register_uuid.. s !9$))D//!AT r- zUUID[]) r@ rg r r r new_typerR new_array_type UUIDARRAY
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th A A A AC CDI($(DIFFDNty,///t~|444$)\222 9r- c 6 e Zd ZdZd Zd Zd Zd Zd Zd Z dS ) InetaC Wrap a string to allow for correct SQL-quoting of inet values.
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on it to make sure it is impossible to execute an SQL-injection
by passing an evil value to the initializer.
c || _ d S r/ )addr)r( rb s r, r% z
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# # #}}**r- c & |t j u r| S d S r/ rC rE s r, rG zInet.__conform__ rH r- c * t | j S r/ )r- rb r{ s r, rP z Inet.__str__ s 49~~ r- N)
r? r@ rA rB r% rd ri rN rG rP r r- r, r` r` sx ; ; ; + + + r- r` c ddl }| dt | sd}d}n&t | t t
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| t j S ) aL Create the INET type and an Inet adapter.
:param oid: oid for the PostgreSQL :sql:`inet` type, or 2-items sequence
with oids of the type and the array. If not specified, use PostgreSQL
standard oids.
:param conn_or_curs: where to register the typecaster. If not specified,
register it globally.
r Nz4the inet adapter is deprecated, it's not very usefulie i INETc ( | rt | pd S r/ )r` )r r s r, rT z register_inet.. s !4$t**!< r- INETARRAY) warningswarnDeprecationWarningrg r r r rU ro rV rq rX )oidr[ rr r\ r] s r,
register_inetrv s OOO MM> C$ ' '
dd
th < <> >DI($; JJDNty,///t~|444 9r- c ddl }ddlm}m}m} | }||k rdS ||k r+| | gg g nI||k r+| g | gg n| d| n$# t $ r | Y w xY w)aR Wait until a connection or cursor has data available.
The function is an example of a wait callback to be registered with
`~psycopg2.extensions.set_wait_callback()`. This function uses
:py:func:`~select.select()` to wait for data to become available, and
therefore is able to handle/receive SIGINT/KeyboardInterrupt.
r N)POLL_OK POLL_READ
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HstoreAdapterz)Adapt a Python dict to the hstore syntax.c || _ d S r/ )wrapped)r( r s r, r% zHstoreAdapter.__init__ s
r- c P || _ |j j dk r| j | _ d S d S )Ni_ )rh infoserver_version _getquoted_8rN rg s r, ri zHstoreAdapter.prepare s1 9 #e + + ! .DNNN , +r- c | j sdS t j }g }| j D ]\ }} || }| | j | }|: || }| | j | }nd}| d|z dz |z dz dd | z dz S )z*Use the operators available in PG pre-9.0.
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IIdQh(1,t3 4 4 4 4ejjnn$t++r- c | j sdS t j t | j }| | j t j t | j }| | j d| z dz | z dz S )z(Use the hstore(text[], text[]) function.r s hstore(s , r ) r r r r r| ri rh r rN )r( r6 rn s r, _getquoted_9zHstoreAdapter._getquoted_98 s | ! = JtDL - - / /00 1 1 $) JtDL / / 1 122 3 3 $) AKKMM)E1AKKMMADHHr- am
# hstore key:
# a string of normal or escaped chars
"((?: [^"\\] | \\. )*)"
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(?:
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| "((?: [^"\\] | \\. )*)"
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z\\(.)c |dS i }d}| j | D ]}|| |k rt j d| | d| d }| d }|| d| }|||< | }|t | k rt j d| |S )zParse an hstore representation in a Python string.
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"a"=>"1", "b"=>"2"
with backslash-escaped strings.
Nr z"error parsing hstore pair at char \1r z/error parsing hstore: unparsed data after char )
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parse_unicodezHstoreAdapter.parse_unicodes s?
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HHT^CN$;< = =zz!S!!!r- c t | \ }}|j }|j j dk rdpd}g g }}| d| d |D ]8}| |d | |d 9|t j k r|j s| t | t | fS )zBReturn the lists of OID of the hstore and hstore[] types.
9 typarrayNULLzSELECT t.oid, z\
FROM pg_type t JOIN pg_namespace ns
ON typnamespace = ns.oid
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|| r| pd dS dS )a Register adapter and typecaster for `!dict`\-\ |hstore| conversions.
:param conn_or_curs: a connection or cursor: the typecaster will be
registered only on this object unless *globally* is set to `!True`
:param globally: register the adapter globally, not only on *conn_or_curs*
:param unicode: if `!True`, keys and values returned from the database
will be `!unicode` instead of `!str`. The option is not available on
Python 3
:param oid: the OID of the |hstore| type if known. If not, it will be
queried on *conn_or_curs*.
:param array_oid: the OID of the |hstore| array type if known. If not, it
will be queried on *conn_or_curs*.
The connection or cursor passed to the function will be used to query the
database and look for the OID of the |hstore| type (which may be different
across databases). If querying is not desirable (e.g. with
:ref:`asynchronous connections `) you may specify it in the
*oid* parameter, which can be found using a query such as :sql:`SELECT
'hstore'::regtype::oid`. Analogously you can obtain a value for *array_oid*
using a query such as :sql:`SELECT 'hstore[]'::regtype::oid`.
Note that, when passing a dictionary from Python to the database, both
strings and unicode keys and values are supported. Dictionaries returned
from the database have keys/values according to the *unicode* parameter.
The |hstore| contrib module must be already installed in the database
(executing the ``hstore.sql`` script in your ``contrib`` directory).
Raise `~psycopg2.ProgrammingError` if the type is not found.
Nr z\hstore type not found in the database. please install it from your 'contrib/hstore.sql' filer c g | ]}||S r r )rr rk s r, r z#register_hstore.. s 9 9 9Qq 9q 9 9 9r- HSTORE HSTOREARRAY)r r r r rg rh r r rU r rX rY dictrV )r[ globallyunicoderu array_oidr r s r, register_hstorer sI > {$$\22 ;c!f;+HI I
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The class is usually created by the `register_composite()` function.
You may want to create and register manually instances of the class if
querying the database at registration time is not desirable (such as when
using an :ref:`asynchronous connections `).
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>: : : : !$- 8 8: : : yy r- c , | | S )a Return a new Python object representing the data being casted.
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representation.
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`.
)_ctor)r( r s r, r zCompositeCaster.make s zz&!!!r- z
\(? ([,)]) # an empty token, representing NULL
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.r publicr r r zSELECT t.oid, %s, attname, atttypid
FROM pg_type t
JOIN pg_namespace ns ON typnamespace = ns.oid
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AND attnum > 0 AND NOT attisdropped
ORDER BY attnum;
FzSAVEPOINT register_typeTzSELECT t.oid, %s, attname, atttypid, typname, nspname
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O0 O0 [O0 O0 O0r- r c |t }| | | }t j |j | r|pd |j t j |j | r|pd |S )a Register a typecaster to convert a composite type into a tuple.
:param name: the name of a PostgreSQL composite type, e.g. created using
the |CREATE TYPE|_ command
:param conn_or_curs: a connection or cursor used to find the type oid and
components; the typecaster is registered in a scope limited to this
object, unless *globally* is set to `!True`
:param globally: if `!False` (default) register the typecaster only on
*conn_or_curs*, otherwise register it globally
:param factory: if specified it should be a `CompositeCaster` subclass: use
it to :ref:`customize how to cast composite types `
:return: the registered `CompositeCaster` or *factory* instance
responsible for the conversion
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s :A A%$A%d c t || D ]9} fd|D } d | :dS )a Execute groups of statements in fewer server roundtrips.
Execute *sql* several times, against all parameters set (sequences or
mappings) found in *argslist*.
The function is semantically similar to
.. parsed-literal::
*cur*\.\ `~cursor.executemany`\ (\ *sql*\ , *argslist*\ )
but has a different implementation: Psycopg will join the statements into
fewer multi-statement commands, each one containing at most *page_size*
statements, resulting in a reduced number of server roundtrips.
After the execution of the function the `cursor.rowcount` property will
**not** contain a total result.
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| |r'| | | S ) aA Execute a statement using :sql:`VALUES` with a sequence of parameters.
:param cur: the cursor to use to execute the query.
:param sql: the query to execute. It must contain a single ``%s``
placeholder, which will be replaced by a `VALUES list`__.
Example: ``"INSERT INTO mytable (id, f1, f2) VALUES %s"``.
:param argslist: sequence of sequences or dictionaries with the arguments
to send to the query. The type and content must be consistent with
*template*.
:param template: the snippet to merge to every item in *argslist* to
compose the query.
- If the *argslist* items are sequences it should contain positional
placeholders (e.g. ``"(%s, %s, %s)"``, or ``"(%s, %s, 42)``" if there
are constants value...).
- If the *argslist* items are mappings it should contain named
placeholders (e.g. ``"(%(id)s, %(f1)s, 42)"``).
If not specified, assume the arguments are sequence and use a simple
positional template (i.e. ``(%s, %s, ...)``), with the number of
placeholders sniffed by the first element in *argslist*.
:param page_size: maximum number of *argslist* items to include in every
statement. If there are more items the function will execute more than
one statement.
:param fetch: if `!True` return the query results into a list (like in a
`~cursor.fetchall()`). Useful for queries with :sql:`RETURNING`
clause.
.. __: https://www.postgresql.org/docs/current/static/queries-values.html
After the execution of the function the `cursor.rowcount` property will
**not** contain a total result.
While :sql:`INSERT` is an obvious candidate for this function it is
possible to use it with other statements, for example::
>>> cur.execute(
... "create table test (id int primary key, v1 int, v2 int)")
>>> execute_values(cur,
... "INSERT INTO test (id, v1, v2) VALUES %s",
... [(1, 2, 3), (4, 5, 6), (7, 8, 9)])
>>> execute_values(cur,
... """UPDATE test SET v1 = data.v1 FROM (VALUES %s) AS data (id, v1)
... WHERE test.id = data.id""",
... [(1, 20), (4, 50)])
>>> cur.execute("select * from test order by id")
>>> cur.fetchall()
[(1, 20, 3), (4, 50, 6), (7, 8, 9)])
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