X-Git-Url: https://git.mdrn.pl/wolnelektury.git/blobdiff_plain/480da6ff4ed8c04b205710c318b2fcfcb961bbc7..8b808f24709efb16f6b6eff6abb05b41341573c7:/apps/search/custom.py?ds=sidebyside

diff --git a/apps/search/custom.py b/apps/search/custom.py
new file mode 100644
index 000000000..fcc3bace2
--- /dev/null
+++ b/apps/search/custom.py
@@ -0,0 +1,156 @@
+
+from sunburnt import sunburnt
+from lxml import etree
+import urllib
+import warnings
+from sunburnt import search
+import copy
+
+
+class TermVectorOptions(search.Options):
+    option_name = "tv"
+
+    def __init__(self, schema, original=None):
+        self.schema = schema
+        if original is None:
+            self.fields = set()
+            self.positions = False
+        else:
+            self.fields = copy.copy(original.fields)
+            self.positions = copy.copy(original.positions)
+
+    def update(self, positions=False, fields=None):
+        if fields is None:
+            fields = []
+        if isinstance(fields, basestring):
+            fields = [fields]
+        self.schema.check_fields(fields, {"stored": True})
+        self.fields.update(fields)
+        self.positions = positions
+
+    def options(self):
+        opts = {}
+        opts['tv'] = 'true'
+        if self.positions:
+            opts['tv.positions'] = 'true'
+        if self.fields:
+            opts['tv.fl'] = ','.join(sorted(self.fields))
+        return opts
+
+
+class CustomSolrConnection(sunburnt.SolrConnection):
+    def __init__(self, *args, **kw):
+        super(CustomSolrConnection, self).__init__(*args, **kw)
+        self.analysis_url = self.url + "analysis/field/"
+
+    def analyze(self, params):
+        qs = urllib.urlencode(params)
+        url = "%s?%s" % (self.analysis_url, qs)
+        if len(url) > self.max_length_get_url:
+            warnings.warn("Long query URL encountered - POSTing instead of "
+                "GETting. This query will not be cached at the HTTP layer")
+            url = self.analysis_url
+            kwargs = dict(
+                method="POST",
+                body=qs,
+                headers={"Content-Type": "application/x-www-form-urlencoded"},
+            )
+        else:
+            kwargs = dict(method="GET")
+        r, c = self.request(url, **kwargs)
+        if r.status != 200:
+            raise sunburnt.SolrError(r, c)
+        return c
+
+
+# monkey patching sunburnt SolrSearch
+search.SolrSearch.option_modules += ('term_vectorer',)
+
+
+def __term_vector(self, positions=False, fields=None):
+    newself = self.clone()
+    newself.term_vectorer.update(positions, fields)
+    return newself
+setattr(search.SolrSearch, 'term_vector', __term_vector)
+__original__init_common_modules = search.SolrSearch._init_common_modules
+
+
+def __patched__init_common_modules(self):
+    __original__init_common_modules(self)
+    self.term_vectorer = TermVectorOptions(self.schema)
+setattr(search.SolrSearch, '_init_common_modules', __patched__init_common_modules)
+
+
+class CustomSolrInterface(sunburnt.SolrInterface):
+    # just copied from parent and SolrConnection -> CustomSolrConnection
+    def __init__(self, url, schemadoc=None, http_connection=None, mode='', retry_timeout=-1, max_length_get_url=sunburnt.MAX_LENGTH_GET_URL):
+        self.conn = CustomSolrConnection(url, http_connection, retry_timeout, max_length_get_url)
+        self.schemadoc = schemadoc
+        if mode == 'r':
+            self.writeable = False
+        elif mode == 'w':
+            self.readable = False
+        self.init_schema()
+
+    def _analyze(self, **kwargs):
+        if not self.readable:
+            raise TypeError("This Solr instance is only for writing")
+        args = {
+            'analysis_showmatch': True
+            }
+        if 'field' in kwargs: args['analysis_fieldname'] = kwargs['field']
+        if 'text' in kwargs: args['analysis_fieldvalue'] = kwargs['text']
+        if 'q' in kwargs: args['q'] = kwargs['q']
+        if 'query' in kwargs: args['q'] = kwargs['q']
+
+        params = map(lambda (k, v): (k.replace('_', '.'), v), sunburnt.params_from_dict(**args))
+
+        content = self.conn.analyze(params)
+        doc = etree.fromstring(content)
+        return doc
+
+    def highlight(self, **kwargs):
+        doc = self._analyze(**kwargs)
+        analyzed = doc.xpath("//lst[@name='index']/arr[last()]/lst[bool/@name='match']")
+        matches = set()
+        for wrd in analyzed:
+            start = int(wrd.xpath("int[@name='start']")[0].text)
+            end = int(wrd.xpath("int[@name='end']")[0].text)
+            matches.add((start, end))
+
+        print matches
+        if matches:
+            return self.substring(kwargs['text'], matches,
+                            margins=kwargs.get('margins', 30),
+            mark=kwargs.get('mark', ("<b>", "</b>")))
+        else:
+            return None
+
+    def analyze(self, **kwargs):
+        doc = self._analyze(self, **kwargs)
+        terms = doc.xpath("/lst[@name='index']/arr[last()]/lst/str[1]")
+        terms = map(lambda n: unicode(n.text), terms)
+        return terms
+
+    def substring(self, text, matches, margins=30, mark=("<b>", "</b>")):
+        start = None
+        end = None
+        totlen = len(text)
+        matches_margins = map(lambda (s, e): (max(0, s - margins), min(totlen, e + margins)), matches)
+        (start, end) = matches_margins[0]
+
+        for (s, e) in matches_margins[1:]:
+            if end < s or start > e:
+                continue
+            start = min(start, s)
+            end = max(end, e)
+
+        snip = text[start:end]
+        matches = list(matches)
+        matches.sort(lambda a, b: cmp(b[0], a[0]))
+        for (s, e) in matches:
+            off = - start
+            snip = snip[:e + off] + mark[1] + snip[e + off:]
+            snip = snip[:s + off] + mark[0] + snip[s + off:]
+            # maybe break on word boundaries
+        return snip