GridFS#

GridFS cache backend. For usage details, see Backends: GridFS and Backends: MongoDB.

GridFSCache

GridFS cache backend.

GridFSDict

A dictionary-like interface for a GridFS database

class requests_cache.backends.gridfs.GridFSCache(db_name, decode_content=False, serializer=None, **kwargs)[source]#

Bases: BaseCache

GridFS cache backend.

Parameters:
  • db_name (str) – Database name

  • connectionpymongo.MongoClient object to reuse instead of creating a new one

  • kwargs – Additional keyword arguments for pymongo.MongoClient

  • decode_content (bool) –

  • serializer (Union[str, SerializerPipeline, Stage, None]) –

clear()#

Delete all items from the cache

close()#

Close any open backend connections

contains(key=None, request=None, url=None)#

Check if the specified request is cached

Parameters:
create_key(request, match_headers=None, **kwargs)#

Create a normalized cache key from a request object

Parameters:
Return type:

str

delete(*args, **kwargs)[source]#

Remove responses from the cache according one or more conditions.

Parameters:
  • keys – Remove responses with these cache keys

  • expired – Remove all expired responses

  • invalid – Remove all invalid responses (that can’t be deserialized with current settings)

  • older_than – Remove responses older than this value, relative to response.created_at

  • requests – Remove matching responses, according to current request matching settings

  • urls – Remove matching GET requests for the specified URL(s)

filter(valid=True, expired=True, invalid=False, older_than=None)#

Get responses from the cache, with optional filters for which responses to include:

Parameters:
  • valid (bool) – Include valid and unexpired responses; set to False to get only expired/invalid/old responses

  • expired (bool) – Include expired responses

  • invalid (bool) – Include invalid responses (as an empty CachedResponse)

  • older_than (Union[None, int, float, str, datetime, timedelta]) – Get responses older than this value, relative to response.created_at

Return type:

Iterator[CachedResponse]

get_response(key, default=None)#

Retrieve a response from the cache, if it exists

Parameters:
  • key (str) – Cache key for the response

  • default – Value to return if key is not in the cache

Return type:

Optional[CachedResponse]

recreate_keys()#

Recreate cache keys for all previously cached responses

remove_expired_responses(expire_after=None)#
Parameters:

expire_after (Union[None, int, float, str, datetime, timedelta]) –

reset_expiration(expire_after=None)#

Set a new expiration value to set on existing cache items

Parameters:

expire_after (Union[None, int, float, str, datetime, timedelta]) – New expiration value, relative to the current time

save_response(response, cache_key=None, expires=None)#

Save a response to the cache

Parameters:
  • cache_key (Optional[str]) – Cache key for this response; will otherwise be generated based on request

  • response (Response) – Response to save

  • expires (Optional[datetime]) – Absolute expiration time for this response

update(other)#

Update this cache with the contents of another cache

Parameters:

other (BaseCache) –

urls(**kwargs)#

Get all unique cached URLs. Optionally takes keyword arguments for filter().

Return type:

List[str]

class requests_cache.backends.gridfs.GridFSDict(db_name, collection_name=None, connection=None, serializer=<requests_cache.serializers.pipeline.SerializerPipeline object>, **kwargs)[source]#

Bases: BaseStorage

A dictionary-like interface for a GridFS database

Parameters:
  • db_name – Database name

  • collection_name – Ignored; GridFS internally uses collections ‘fs.files’ and ‘fs.chunks’

  • connectionpymongo.MongoClient object to reuse instead of creating a new one

  • kwargs – Additional keyword arguments for pymongo.MongoClient

  • serializer (Union[str, SerializerPipeline, Stage, None]) –

bulk_delete(keys)#

Delete multiple keys from the cache, without raising errors for missing keys.

This is a naive, generic implementation that subclasses should override with a more efficient backend-specific implementation, if possible.

Parameters:

keys (Iterable[TypeVar(KT)]) –

clear() None.  Remove all items from D.[source]#
close()#

Close any open backend connections

deserialize(key, value)#

Deserialize a value, if a serializer is available.

If deserialization fails (usually due to a value saved in an older requests-cache version), None will be returned.

Parameters:

value (TypeVar(VT)) –

get(k[, d]) D[k] if k in D, else d.  d defaults to None.#
items() a set-like object providing a view on D's items#
keys() a set-like object providing a view on D's keys#
pop(k[, d]) v, remove specified key and return the corresponding value.#

If key is not found, d is returned if given, otherwise KeyError is raised.

popitem() (k, v), remove and return some (key, value) pair#

as a 2-tuple; but raise KeyError if D is empty.

serialize(value)#

Serialize a value, if a serializer is available

Parameters:

value (TypeVar(VT)) –

setdefault(k[, d]) D.get(k,d), also set D[k]=d if k not in D#
update([E, ]**F) None.  Update D from mapping/iterable E and F.#

If E present and has a .keys() method, does: for k in E: D[k] = E[k] If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k, v in F.items(): D[k] = v

values() an object providing a view on D's values#