Recoll versions after 1.11 define a Python programming interface, both for searching and indexing.
The python interface is not built by default and can be found in the source package, under python/recoll. The directory contains the usual setup.py script which you can use to build and install the module:
cd recoll-xxx/python/recoll python setup.py build python setup.py install
NAME
recoll - This is an interface to the Recoll full text indexer.
FILE
/usr/local/lib/python2.5/site-packages/recoll.so
CLASSES
Db
Doc
Query
SearchData
class Db(__builtin__.object)
| Db([confdir=None], [extra_dbs=None], [writable = False])
|
| A Db object holds a connection to a Recoll index. Use the connect()
| function to create one.
| confdir specifies a Recoll configuration directory (default:
| $RECOLL_CONFDIR or ~/.recoll).
| extra_dbs is a list of external databases (xapian directories)
| writable decides if we can index new data through this connection
|
| Methods defined here:
|
|
| addOrUpdate(...)
| addOrUpdate(udi, doc, parent_udi=None) -> None
| Add or update index data for a given document
| The udi string must define a unique id for the document. It is not
| interpreted inside Recoll
| doc is a Doc object
| if parent_udi is set, this is a unique identifier for the
| top-level container (ie mbox file)
|
| delete(...)
| delete(udi) -> Bool.
| Purge index from all data for udi. If udi matches a container
| document, purge all subdocs (docs with a parent_udi matching udi).
|
| makeDocAbstract(...)
| makeDocAbstract(Doc, Query) -> string
| Build and return 'keyword-in-context' abstract for document
| and query.
|
| needUpdate(...)
| needUpdate(udi, sig) -> Bool.
| Check if the index is up to date for the document defined by udi,
| having the current signature sig.
|
| purge(...)
| purge() -> Bool.
| Delete all documents that were not touched during the just finished
| indexing pass (since open-for-write). These are the documents for
| the needUpdate() call was not performed, indicating that they no
| longer exist in the primary storage system.
|
| query(...)
| query() -> Query. Return a new, blank query object for this index.
|
| setAbstractParams(...)
| setAbstractParams(maxchars, contextwords).
| Set the parameters used to build 'keyword-in-context' abstracts
|
| ----------------------------------------------------------------------
| Data and other attributes defined here:
|
class Doc(__builtin__.object)
| Doc()
|
| A Doc object contains index data for a given document.
| The data is extracted from the index when searching, or set by the
| indexer program when updating. The Doc object has no useful methods but
| many attributes to be read or set by its user. It matches exactly the
| Rcl::Doc c++ object. Some of the attributes are predefined, but,
| especially when indexing, others can be set, the name of which will be
| processed as field names by the indexing configuration.
| Inputs can be specified as unicode or strings.
| Outputs are unicode objects.
| All dates are specified as unix timestamps, printed as strings
| Predefined attributes (index/query/both):
| text (index): document plain text
| url (both)
| fbytes (both) optional) file size in bytes
| filename (both)
| fmtime (both) optional file modification date. Unix time printed
| as string
| dbytes (both) document text bytes
| dmtime (both) document creation/modification date
| ipath (both) value private to the app.: internal access path
| inside file
| mtype (both) mime type for original document
| mtime (query) dmtime if set else fmtime
| origcharset (both) charset the text was converted from
| size (query) dbytes if set, else fbytes
| sig (both) app-defined file modification signature.
| For up to date checks
| relevancyrating (query)
| abstract (both)
| author (both)
| title (both)
| keywords (both)
|
| Methods defined here:
|
|
| ----------------------------------------------------------------------
| Data and other attributes defined here:
|
class Query(__builtin__.object)
| Recoll Query objects are used to execute index searches.
| They must be created by the Db.query() method.
|
| Methods defined here:
|
|
| execute(...)
| execute(query_string, stemming=1|0)
|
| Starts a search for query_string, a Recoll search language string
| (mostly Xesam-compatible).
| The query can be a simple list of terms (and'ed by default), or more
| complicated with field specs etc. See the Recoll manual.
|
| executesd(...)
| executesd(SearchData)
|
| Starts a search for the query defined by the SearchData object.
|
| fetchone(...)
| fetchone(None) -> Doc
|
| Fetches the next Doc object in the current search results.
|
| sortby(...)
| sortby(field=fieldname, ascending=true)
| Sort results by 'fieldname', in ascending or descending order.
| Only one field can be used, no subsorts for now.
| Must be called before executing the search
|
| ----------------------------------------------------------------------
| Data descriptors defined here:
|
| next
| Next index to be fetched from results. Normally increments after
| each fetchone() call, but can be set/reset before the call effect
| seeking. Starts at 0
|
| ----------------------------------------------------------------------
| Data and other attributes defined here:
|
class SearchData(__builtin__.object)
| SearchData()
|
| A SearchData object describes a query. It has a number of global
| parameters and a chain of search clauses.
|
| Methods defined here:
|
|
| addclause(...)
| addclause(type='and'|'or'|'excl'|'phrase'|'near'|'sub',
| qstring=string, slack=int, field=string, stemming=1|0,
| subSearch=SearchData)
| Adds a simple clause to the SearchData And/Or chain, or a subquery
| defined by another SearchData object
|
| ----------------------------------------------------------------------
| Data and other attributes defined here:
|
FUNCTIONS
connect(...)
connect([confdir=None], [extra_dbs=None], [writable = False])
-> Db.
Connects to a Recoll database and returns a Db object.
confdir specifies a Recoll configuration directory
(the default is built like for any Recoll program).
extra_dbs is a list of external databases (xapian directories)
writable decides if we can index new data through this connection
The following sample would query the index with a user language string. See the python/samples directory inside the Recoll source for other examples.
#!/usr/bin/env python import recoll db = recoll.connect() db.setAbstractParams(maxchars=80, contextwords=2) query = db.query() nres = query.execute("some user question") print "Result count: ", nres if nres > 5: nres = 5 while query.next >= 0 and query.next < nres: doc = query.fetchone() print query.next for k in ("title", "size"): print k, ":", getattr(doc, k).encode('utf-8') abs = db.makeDocAbstract(doc, query).encode('utf-8') print abs print