def retrieve(self, document):
"""Read document CouchDB metadata.
@param document: is a DMS Document() instance
"""
docrule = document.get_docrule()
mapping = docrule.get_docrule_plugin_mappings()
# No actions for no docrule documents
# No actions for documents without 'mapping has DB plugins'
if document.get_docrule().uncategorized:
return document
else:
if not mapping.get_database_storage_plugins():
return document
else:
self.check_user(document)
doc_name = document.get_code()
couchdoc = CouchDocument()
try:
couchdoc = CouchDocument.get(docid=doc_name)
except Exception, e:
# Skip deleted errors (they are not used in DMS)
e_message = str(e)
if not e_message in ['deleted', 'missing']:
raise PluginError('CouchDB error: %s' % e, e)
pass
document = couchdoc.populate_into_dms(document)
return document
def update_document_metadata(self, document):
"""Updates document with new indexes and stores old one into another revision.
@param document: is a DMS Document() instance
"""
self.check_user(document)
if 'update_file' in document.options and document.options[
'update_file']:
name = document.get_code()
# We need to create couchdb document in case it does not exists in database.
couchdoc = CouchDocument.get_or_create(docid=name)
couchdoc.update_file_revisions_metadata(document)
couchdoc.save()
if document.old_docrule:
old_couchdoc = None
couchdoc = CouchDocument.get_or_create(docid=document.file_name)
try:
old_couchdoc = CouchDocument.get(docid=document.old_name_code)
except Exception, e:
log.error('%s' % e)
pass
if old_couchdoc:
# Migrate from existing CouchDB document
couchdoc.migrate_metadata_for_docrule(document, old_couchdoc)
couchdoc.save()
old_couchdoc.delete()
else:
# store from current Document() instance
user = document.user
couchdoc.populate_from_dms(user, document)
couchdoc.save()
def retrieve(self, document):
"""Read document CouchDB metadata.
@param document: is a DMS Document() instance
"""
docrule = document.get_docrule()
mapping = docrule.get_docrule_plugin_mappings()
# No actions for no docrule documents
# No actions for documents without 'mapping has DB plugins'
if document.get_docrule().uncategorized:
return document
else:
if not mapping.get_database_storage_plugins():
return document
else:
self.check_user(document)
doc_name = document.get_code()
couchdoc = CouchDocument()
try:
couchdoc = CouchDocument.get(docid=doc_name)
except Exception, e:
# Skip deleted errors (they are not used in DMS)
e_message = str(e)
if not e_message in ['deleted', 'missing']:
raise PluginError('CouchDB error: %s' % e, e)
pass
document = couchdoc.populate_into_dms(document)
return document
def update_document_metadata(self, document):
"""Updates document with new indexes and stores old one into another revision.
@param document: is a DMS Document() instance
"""
self.check_user(document)
if 'update_file' in document.options and document.options['update_file']:
name = document.get_code()
# We need to create couchdb document in case it does not exists in database.
couchdoc = CouchDocument.get_or_create(docid=name)
couchdoc.update_file_revisions_metadata(document)
couchdoc.save()
if document.old_docrule:
old_couchdoc = None
couchdoc = CouchDocument.get_or_create(docid=document.file_name)
try:
old_couchdoc = CouchDocument.get(docid=document.old_name_code)
except Exception, e:
log.error('%s' % e)
pass
if old_couchdoc:
# Migrate from existing CouchDB document
couchdoc.migrate_metadata_for_docrule(document, old_couchdoc)
couchdoc.save()
old_couchdoc.delete()
else:
# store from current Document() instance
user = document.user
couchdoc.populate_from_dms(user, document)
couchdoc.save()
def remove(self, document):
"""Updates document CouchDB metadata on removal.
(Removes CouchDB document or acts as prescribed in removal workflows)
@param document: is a DMS Document() instance
"""
# Doing nothing for mark deleted call
code = document.get_code()
couchdoc = CouchDocument.get(docid=code)
if 'mark_deleted' in document.options.iterkeys():
couchdoc['deleted'] = 'deleted'
couchdoc.save()
return document
if 'mark_revision_deleted' in document.options.iterkeys():
mark_revision = document.options['mark_revision_deleted']
if mark_revision in couchdoc.revisions.iterkeys():
couchdoc.revisions[mark_revision]['deleted'] = True
else:
raise PluginError('Object has no revision: %s' % mark_revision,
404)
couchdoc.save()
return document
if 'delete_revision' in document.options.iterkeys():
revision = document.options['delete_revision']
del couchdoc.revisions[revision]
couchdoc.save()
return document
if not document.get_file_obj():
#doc is fully deleted from fs
couchdoc.delete()
return document
def document_date_range_only_search(self, cleaned_document_keys, docrule_ids):
log.debug('Date range search only')
resp_list = []
startkey = [None,]
endkey = [None,]
for docrule_id in docrule_ids:
startkey = [docrule_id, str_date_to_couch(cleaned_document_keys["date"])]
endkey = [docrule_id, str_date_to_couch(cleaned_document_keys["end_date"])]
# Getting all documents withing this date range
all_docs = CouchDocument.view(
'dmscouch/search_date',
classes={None: CouchDocument},
startkey=startkey,
endkey=endkey
)
# Appending to fetch docs list if not already there
for doc in all_docs:
doc_name = doc.get_id
if not doc_name in resp_list:
resp_list.append(doc_name)
if resp_list:
log_data = resp_list.__len__()
else:
log_data = None
log.debug(
'Search results by date range: from: "%s", to: "%s", docrules: "%s", documents: "%s"' %
(startkey[0], endkey[0], docrule_ids, log_data)
)
return resp_list
def remove(self, document):
"""Updates document CouchDB metadata on removal.
(Removes CouchDB document or acts as prescribed in removal workflows)
@param document: is a DMS Document() instance
"""
# Doing nothing for mark deleted call
code = document.get_code()
couchdoc = CouchDocument.get(docid=code)
if 'mark_deleted' in document.options.iterkeys():
couchdoc['deleted'] = 'deleted'
couchdoc.save()
return document
if 'mark_revision_deleted' in document.options.iterkeys():
mark_revision = document.options['mark_revision_deleted']
if mark_revision in couchdoc.revisions.iterkeys():
couchdoc.revisions[mark_revision]['deleted'] = True
else:
raise PluginError('Object has no revision: %s' % mark_revision, 404)
couchdoc.save()
return document
if 'delete_revision' in document.options.iterkeys():
revision = document.options['delete_revision']
del couchdoc.revisions[revision]
couchdoc.save()
return document
if not document.get_file_obj():
#doc is fully deleted from fs
couchdoc.delete()
return document
def get_found_documents(self, document_names_list):
"""
Method to retrieve documents index data by document names list.
@param document_names_list: list of document id's, e.g. ['DOC0001', 'MAS0001', '...' ]
@return: CouchDB documents list.
"""
documents = CouchDocument.view('dmscouch/all', keys=document_names_list, include_docs=True)
return documents
def check_docs_for_existence(key, value, docrule):
"""Check if at least one document with specified docrule, key and value exist"""
documents = CouchDocument.view('dmscouch/search_autocomplete', key=[str(docrule), key, value], reduce=False)
if documents.__len__() > 0:
# There is at least one this type document...
return True
else:
# No such documents
return False
def document_date_range_with_keys_search(self, cleaned_document_keys,
docrule_ids):
log.debug('Date range search with additional keys specified')
resp_set = {}
docs_list = {}
# For each docrule user search is requested
for docrule_id in docrule_ids:
# Getting list of date range filtered docs for each provided secondary key
# Except for internal keys
for key, value in cleaned_document_keys.iteritems():
if not (key == 'date') and not (key == 'end_date'):
if not value.__class__.__name__ == 'tuple':
# Normal search
startkey = self.convert_to_search_keys_for_date_range(
cleaned_document_keys, key, docrule_id)
endkey = self.convert_to_search_keys_for_date_range(
cleaned_document_keys, key, docrule_id, end=True)
else:
# Got date range key
startkey = self.convert_to_search_keys_for_date_range(
cleaned_document_keys,
key,
docrule_id,
date_range=True)
endkey = self.convert_to_search_keys_for_date_range(
cleaned_document_keys,
key,
docrule_id,
end=True,
date_range=True)
if startkey and endkey:
# Appending results list to mixed set of results.
search_res = CouchDocument.view(
'dmscouch/search',
classes={None: CouchDocument},
startkey=startkey,
endkey=endkey)
if docrule_id in resp_set.iterkeys():
resp_set[docrule_id].append(search_res)
else:
resp_set[docrule_id] = [search_res]
# Extracting documents for each CouchDB response set.
docs_list[docrule_id] = self.convert_search_res_for_range(
resp_set, cleaned_document_keys, docrule_id)
# Listing all documents to retrieve and getting them
retrieve_docs = []
for d_list in docs_list.itervalues():
if d_list:
for item in d_list:
retrieve_docs.append(item)
log.debug(
'Search results by date range with additional keys: "%s", docrule: "%s", documents: "%s"'
% (cleaned_document_keys, docrule_ids,
map(lambda doc: doc, retrieve_docs)))
return retrieve_docs
def check_docs_for_existence(key, value, docrule):
"""Check if at least one document with specified docrule, key and value exist"""
documents = CouchDocument.view('dmscouch/search_autocomplete',
key=[str(docrule), key, value],
reduce=False)
if documents.__len__() > 0:
# There is at least one this type document...
return True
else:
# No such documents
return False
def check_for_secondary_keys_pairs(input_keys_list, docrule_id):
"""Checks for parallel keys pairs if they already exist in Secondary Keys.
Scenario:
Existing Parallell key:
JOHN 1234
user enters
MIKE 1234
where MIKE already exists in combination with another numeric id we should still issue a warning.
EG. The combination of key values is new! (even though no new keys have been created)
"""
# Copying dictionary data and operating with them in function
sec_keys_list = {}
suspicious_keys_list = {}
if input_keys_list:
for key in input_keys_list.iterkeys():
sec_keys_list[key] = input_keys_list[key]
suspicious_keys_list = {}
p_keys_manager = ParallelKeysManager()
mdt_manager = MetaDataTemplateManager()
keys_list = [key for key in sec_keys_list.iterkeys()]
# Cleaning from not secondary keys
for key in keys_list:
if key == 'date' or key == 'description':
del sec_keys_list[key]
# Getting list of parallel keys for this docrule.
mdts = mdt_manager.get_mdts_for_docrule(docrule_id)
pkeys = p_keys_manager.get_parallel_keys_for_mdts(mdts)
# Getting Pkeys lists.
checked_keys = []
for key in sec_keys_list.iterkeys():
key_pkeys = p_keys_manager.get_parallel_keys_for_key(pkeys, key)
pkeys_with_values = p_keys_manager.get_parallel_keys_for_pkeys(
key_pkeys, sec_keys_list)
# Checking if this parallel keys group already was checked.
if not pkeys_with_values in checked_keys:
checked_keys.append(pkeys_with_values)
# Getting all keys for parallel key to check if it exists in any document metadata already.
for pkey, pvalue in pkeys_with_values:
documents = CouchDocument.view('dmscouch/search_autocomplete',
key=[docrule_id, pkey, pvalue],
reduce=False)
# Appending non existing keys into list to be checked.
if not documents:
suspicious_keys_list[pkey] = pvalue
if suspicious_keys_list:
log.debug('Found new unique key/values in secondary keys: ',
suspicious_keys_list)
else:
log.debug('Found NO new unique key/values in secondary keys')
return suspicious_keys_list
def get_sorting_docs_indexes(self, document_list):
"""
Retrieves main document indexes from CouchDB view.
@param document_list: list of document names, e.g. ['ADL-0001', 'CCC-0001', ... ]
@return: CouchDB documents "view results" Object.
each document contains:
"mdt_indexes"
"metadata_created_date"
"metadata_description"
"metadata_doc_type_rule_id"
"""
documents = CouchDocument.view('dmscouch/search_main_indexes', keys=document_list)
return documents
def check_for_secondary_keys_pairs(input_keys_list, docrule_id):
"""Checks for parallel keys pairs if they already exist in Secondary Keys.
Scenario:
Existing Parallell key:
JOHN 1234
user enters
MIKE 1234
where MIKE already exists in combination with another numeric id we should still issue a warning.
EG. The combination of key values is new! (even though no new keys have been created)
"""
# Copying dictionary data and operating with them in function
sec_keys_list = {}
suspicious_keys_list = {}
if input_keys_list:
for key in input_keys_list.iterkeys():
sec_keys_list[key] = input_keys_list[key]
suspicious_keys_list = {}
p_keys_manager = ParallelKeysManager()
mdt_manager = MetaDataTemplateManager()
keys_list = [key for key in sec_keys_list.iterkeys()]
# Cleaning from not secondary keys
for key in keys_list:
if key == 'date' or key == 'description':
del sec_keys_list[key]
# Getting list of parallel keys for this docrule.
mdts = mdt_manager.get_mdts_for_docrule(docrule_id)
pkeys = p_keys_manager.get_parallel_keys_for_mdts(mdts)
# Getting Pkeys lists.
checked_keys = []
for key in sec_keys_list.iterkeys():
key_pkeys = p_keys_manager.get_parallel_keys_for_key(pkeys, key)
pkeys_with_values = p_keys_manager.get_parallel_keys_for_pkeys(key_pkeys, sec_keys_list)
# Checking if this parallel keys group already was checked.
if not pkeys_with_values in checked_keys:
checked_keys.append(pkeys_with_values)
# Getting all keys for parallel key to check if it exists in any document metadata already.
for pkey, pvalue in pkeys_with_values:
documents = CouchDocument.view('dmscouch/search_autocomplete',
key=[docrule_id, pkey, pvalue],
reduce=False)
# Appending non existing keys into list to be checked.
if not documents:
suspicious_keys_list[pkey] = pvalue
if suspicious_keys_list:
log.debug('Found new unique key/values in secondary keys: ', suspicious_keys_list)
else:
log.debug('Found NO new unique key/values in secondary keys')
return suspicious_keys_list
def get_found_documents(self, document_names_list):
"""
Method to retrieve documents index data by document names list.
@param document_names_list: list of document id's, e.g. ['DOC0001', 'MAS0001', '...' ]
@return: CouchDB documents list.
"""
documents = CouchDocument.view('dmscouch/all',
keys=document_names_list,
include_docs=True)
# Converting documents to omit couchdb ViewResults iteration bug
results = []
for doc in documents:
results.append(doc)
return results
def get_sorting_docs_indexes(self, document_list):
"""
Retrieves main document indexes from CouchDB view.
@param document_list: list of document names, e.g. ['ADL-0001', 'CCC-0001', ... ]
@return: CouchDB documents "view results" Object.
each document contains:
"mdt_indexes"
"metadata_created_date"
"metadata_description"
"metadata_doc_type_rule_id"
"""
documents = CouchDocument.view('dmscouch/search_main_indexes',
classes={None: CouchDocument},
keys=document_list)
return documents
def get_found_documents(self, document_names_list):
"""
Method to retrieve documents index data by document names list.
@param document_names_list: list of document id's, e.g. ['DOC0001', 'MAS0001', '...' ]
@return: CouchDB documents list.
"""
documents = CouchDocument.view(
'dmscouch/all',
keys=document_names_list,
include_docs=True)
# Converting documents to omit couchdb ViewResults iteration bug
results = []
for doc in documents:
results.append(doc)
return results
def document_date_range_with_keys_search(self, cleaned_document_keys, docrule_ids):
log.debug('Date range search with additional keys specified')
resp_set = {}
docs_list = {}
# For each docrule user search is requested
for docrule_id in docrule_ids:
# Getting list of date range filtered docs for each provided secondary key
# Except for internal keys
for key, value in cleaned_document_keys.iteritems():
if not (key == 'date') and not (key == 'end_date'):
if not value.__class__.__name__ == 'tuple':
# Normal search
startkey = self.convert_to_search_keys_for_date_range(cleaned_document_keys, key, docrule_id)
endkey = self.convert_to_search_keys_for_date_range(cleaned_document_keys, key, docrule_id, end=True)
else:
# Got date range key
startkey = self.convert_to_search_keys_for_date_range(cleaned_document_keys, key, docrule_id, date_range=True)
endkey = self.convert_to_search_keys_for_date_range(cleaned_document_keys, key, docrule_id, end=True, date_range=True)
if startkey and endkey:
# Appending results list to mixed set of results.
search_res = CouchDocument.view(
'dmscouch/search',
classes={None: CouchDocument},
startkey=startkey,
endkey=endkey
)
if docrule_id in resp_set.iterkeys():
resp_set[docrule_id].append(search_res)
else:
resp_set[docrule_id] = [search_res]
# Extracting documents for each CouchDB response set.
docs_list[docrule_id] = self.convert_search_res_for_range(resp_set, cleaned_document_keys, docrule_id)
# Listing all documents to retrieve and getting them
retrieve_docs = []
for d_list in docs_list.itervalues():
if d_list:
for item in d_list:
retrieve_docs.append(item)
log.debug(
'Search results by date range with additional keys: "%s", docrule: "%s", documents: "%s"' %
(cleaned_document_keys, docrule_ids, map(lambda doc: doc, retrieve_docs))
)
return retrieve_docs
def document_date_range_only_search(self, cleaned_document_keys,
docrule_ids):
log.debug('Date range search only')
resp_list = []
startkey = [
None,
]
endkey = [
None,
]
for docrule_id in docrule_ids:
startkey = [
docrule_id,
str_date_to_couch(cleaned_document_keys["date"])
]
endkey = [
docrule_id,
str_date_to_couch(cleaned_document_keys["end_date"])
]
# Getting all documents withing this date range
all_docs = CouchDocument.view('dmscouch/search_date',
classes={None: CouchDocument},
startkey=startkey,
endkey=endkey)
# Appending to fetch docs list if not already there
for doc in all_docs:
doc_name = doc.get_id
if not doc_name in resp_list:
resp_list.append(doc_name)
if resp_list:
log_data = resp_list.__len__()
else:
log_data = None
log.debug(
'Search results by date range: from: "%s", to: "%s", docrules: "%s", documents: "%s"'
% (startkey[0], endkey[0], docrule_ids, log_data))
return resp_list
def get_codes(self):
deleted_codes = CouchDocument.view('dmscouch/deleted')
codes = [doc.get_id for doc in deleted_codes]
return codes
def store(self, document):
"""Stores CouchDB object into DB.
(Updates or overwrites CouchDB document)
@param document: is a DMS Document() instance
"""
# FIXME: Refactor me. We should upload new "secondary_indexes" or metatags with update() workflow,
# not a create(), like it is now. Because this method is a mess.
docrule = document.get_docrule()
# doing nothing for no docrule documents
if docrule.uncategorized:
return document
else:
user = self.check_user(document)
processor = DocumentProcessor()
# FIXME: there might be more than one mapping
mapping = docrule.get_docrule_plugin_mappings()
# doing nothing for documents without mapping has DB plugins
if not mapping.get_database_storage_plugins():
return document
else:
# if not exists all required metadata getting them from docrule retrieve sequence
if not document.file_revision_data:
# HACK: Preserving db_info here... (May be Solution!!!)
db_info = document.get_db_info()
document = processor.read(document.file_name, options={
'only_metadata': True,
'user': document.user
})
# saving NEW file_revision_data ONLY if they exist in new uploaded doc (Preserving old indexes)
if db_info:
# Storing new indexes
document.set_db_info(db_info)
else:
# TODO: move this code into a proper place (UPDATE method)
# Asking couchdb about if old file_revision_data exists and updating them properly
current_revisions = document.file_revision_data
try:
# Only if document exists in DB. Falling gracefully if not.
temp_doc = self.retrieve(document)
old_metadata = temp_doc.get_db_info()
old_index_revisions = None
if old_metadata['mdt_indexes']:
# Preserving Description, User, Created Date, indexes revisions
if temp_doc.index_revisions:
old_index_revisions = temp_doc.index_revisions
old_metadata['mdt_indexes']['description'] = old_metadata['description']
old_metadata['mdt_indexes']['metadata_user_name'] = old_metadata['metadata_user_name']
old_metadata['mdt_indexes']['metadata_user_id'] = old_metadata['metadata_user_id']
old_cr_date = datetime.datetime.strftime(
old_metadata['metadata_created_date'],
settings.DATE_FORMAT
)
old_metadata['mdt_indexes']['date'] = old_cr_date
document.set_db_info(old_metadata['mdt_indexes'])
document.set_index_revisions(old_index_revisions)
document.set_file_revisions_data(current_revisions)
else:
# Preserving set revisions anyway.
document.set_file_revisions_data(current_revisions)
except ResourceNotFound:
pass
# updating tags to sync with Django DB
self.sync_document_tags(document)
# assuming no document with this _id exists. SAVING or overwriting existing
couchdoc = CouchDocument()
couchdoc.populate_from_dms(user, document)
couchdoc.save(force_update=True)
return document
def process_pkeys_request(docrule_id, key_name, autocomplete_req, doc_mdts, letters_limit=2, suggestions_limit=8):
"""Helper method to process MDT's for special user.
# We can collect all the documents keys for each docrule in MDT related to requested field and load them into queue.
# Then check them for duplicated values and/or make a big index with all the document's keys in it
# to fetch only document indexes we need on first request. (Instead of 'include_docs=True')
# E.g. Make autocomplete Couch View to output index with all Document's mdt_indexes ONLY.
#
# Total amount of requests will be 3 instead of 2 (for 2 docrules <> 1 MDT) but they will be smaller.
# And that will be good for say 1 000 000 documents. However, DB size will rise too.
# (Because we will copy all the doc's indexes into separate specific response for Typehead in fact)
# Final step is to load all unique suggestion documents that are passed through our filters.
# (Or if we will build this special index it won't be necessary)
# (Only if we require parallel keys to be parsed)
# It can be done by specifying multiple keys that we need to load here. ('key' ws 'keys' *args in CouchDB request)
"""
# TODO: Can be optimised for huge document's amounts in future (Step: Scalability testing)
resp = []
view_name = 'dmscouch/search_autocomplete'
manager = ParallelKeysManager()
for mdt in doc_mdts.itervalues():
mdt_keys = [mdt[u'fields'][mdt_key][u'field_name'] for mdt_key in mdt[u'fields']]
log.debug('mdt_parallel_keys selected for suggestion MDT-s keys: %s' % mdt_keys)
if key_name in mdt_keys:
# Autocomplete key belongs to this MDT
mdt_docrules = mdt[u'docrule_id']
if docrule_id:
# In case of index get Parallel keys from all MDT for docrule
mdt_fields = manager.get_keys_for_docrule(docrule_id, doc_mdts)
else:
# In case of search get only from selected MDT
mdt_fields = manager.get_parallel_keys_for_mdts(doc_mdts)
pkeys = manager.get_parallel_keys_for_key(mdt_fields, key_name)
for docrule in mdt_docrules:
# Only search through another docrules if response is not full
if resp.__len__() > suggestions_limit:
break
# db call to search in docs
if pkeys:
# Making no action if not enough letters
if autocomplete_req.__len__() > letters_limit:
# Suggestion for several parallel keys
documents = CouchDocument.view(
view_name,
startkey=[docrule, key_name, autocomplete_req],
endkey=[docrule, key_name, unicode(autocomplete_req)+u'\ufff0'],
include_docs=True,
reduce=False
)
# Adding each selected value to suggestions list
for doc in documents:
# Only append values until we've got 'suggestions_limit' results
if resp.__len__() > suggestions_limit:
break
resp_array = {}
if pkeys:
for pkey in pkeys:
resp_array[pkey['field_name']] = doc.mdt_indexes[pkey['field_name']]
suggestion = json.dumps(resp_array)
# filtering from existing results
if not suggestion in resp:
resp.append(suggestion)
else:
# Simple 'single' key suggestion
documents = CouchDocument.view(
view_name,
startkey=[docrule, key_name, autocomplete_req],
endkey=[docrule, key_name, unicode(autocomplete_req)+u'\ufff0'],
group=True,
)
# Fetching unique responses to suggestion set
for doc in documents:
# Only append values until we've got 'suggestions_limit' results
if resp.__len__() > suggestions_limit:
break
resp_array = {key_name: doc['key'][2]}
suggestion = json.dumps(resp_array)
if not suggestion in resp:
resp.append(suggestion)
return resp
def process_pkeys_request(docrule_id, key_name, autocomplete_req, doc_mdts, letters_limit=2, suggestions_limit=8):
"""
Helper method to process MDT's for special user.
# We can collect all the documents keys for each docrule in MDT related to requested field and load them into queue.
# Then check them for duplicated values and/or make a big index with all the document's keys in it
# to fetch only document indexes we need on first request. (Instead of 'include_docs=True')
# E.g. Make autocomplete Couch View to output index with all Document's mdt_indexes ONLY.
#
# Total amount of requests will be 3 instead of 2 (for 2 docrules <> 1 MDT) but they will be smaller.
# And that will be good for say 1 000 000 documents. However, DB size will rise too.
# (Because we will copy all the doc's indexes into separate specific response for Typehead in fact)
# Final step is to load all unique suggestion documents that are passed through our filters.
# (Or if we will build this special index it won't be necessary)
# (Only if we require parallel keys to be parsed)
# It can be done by specifying multiple keys that we need to load here. ('key' ws 'keys' *args in CouchDB request)
"""
# TODO: Can be optimised for huge document's amounts in future (Step: Scalability testing)
resp = []
view_name = 'dmscouch/search_autocomplete'
manager = ParallelKeysManager()
for mdt in doc_mdts.itervalues():
mdt_keys = [mdt[u'fields'][mdt_key][u'field_name'] for mdt_key in mdt[u'fields']]
log.debug('mdt_parallel_keys selected for suggestion MDT-s keys: %s' % mdt_keys)
if key_name in mdt_keys:
# Autocomplete key belongs to this MDT
mdt_docrules = mdt[u'docrule_id']
if docrule_id:
# In case of index get Parallel keys from all MDT for docrule
mdt_fields = manager.get_keys_for_docrule(docrule_id, doc_mdts)
else:
# In case of search get only from selected MDT
mdt_fields = manager.get_parallel_keys_for_mdts(doc_mdts)
pkeys = manager.get_parallel_keys_for_key(mdt_fields, key_name)
for docrule in mdt_docrules:
# Only search through another docrules if response is not full
if resp.__len__() > suggestions_limit:
break
# db call to search in docs
if pkeys:
# Making no action if not enough letters
if autocomplete_req.__len__() > letters_limit:
# Suggestion for several parallel keys
documents = CouchDocument.view(
view_name,
startkey=[docrule, key_name, autocomplete_req],
endkey=[docrule, key_name, unicode(autocomplete_req)+u'\ufff0'],
include_docs=True,
reduce=False
)
# Adding each selected value to suggestions list
for doc in documents:
# Only append values until we've got 'suggestions_limit' results
if resp.__len__() > suggestions_limit:
break
resp_array = {}
if pkeys:
for pkey in pkeys:
resp_array[pkey['field_name']] = doc.mdt_indexes[pkey['field_name']]
suggestion = json.dumps(resp_array)
# filtering from existing results
if not suggestion in resp:
resp.append(suggestion)
else:
# Simple 'single' key suggestion
documents = CouchDocument.view(
view_name,
startkey=[docrule, key_name, autocomplete_req],
endkey=[docrule, key_name, unicode(autocomplete_req)+u'\ufff0'],
group=True,
)
# Fetching unique responses to suggestion set
for doc in documents:
# Only append values until we've got 'suggestions_limit' results
if resp.__len__() > suggestions_limit:
break
resp_array = {key_name: doc['key'][2]}
suggestion = json.dumps(resp_array)
if not suggestion in resp:
resp.append(suggestion)
return resp
class CouchDBMetadataWorker(object):
"""Stores metadata in CouchDB DatabaseManager.
Handles required logic for metadata <==> Document(object) manipulations.
"""
def store(self, document):
"""Stores CouchDB object into DB.
(Updates or overwrites CouchDB document)
@param document: is a DMS Document() instance
"""
# FIXME: Refactor me. We should upload new "secondary_indexes" or metatags with update() workflow,
# not a create(), like it is now. Because this method is a mess.
docrule = document.get_docrule()
# doing nothing for no docrule documents
if docrule.uncategorized:
return document
else:
user = self.check_user(document)
processor = DocumentProcessor()
# FIXME: there might be more than one mapping
mapping = docrule.get_docrule_plugin_mappings()
# doing nothing for documents without mapping has DB plugins
if not mapping.get_database_storage_plugins():
return document
else:
# if not exists all required metadata getting them from docrule retrieve sequence
if not document.file_revision_data:
# HACK: Preserving db_info here... (May be Solution!!!)
db_info = document.get_db_info()
document = processor.read(document.file_name,
options={
'only_metadata': True,
'user': document.user
})
# saving NEW file_revision_data ONLY if they exist in new uploaded doc (Preserving old indexes)
if db_info:
# Storing new indexes
document.set_db_info(db_info)
else:
# TODO: move this code into a proper place (UPDATE method)
# Asking couchdb about if old file_revision_data exists and updating them properly
current_revisions = document.file_revision_data
try:
# Only if document exists in DB. Falling gracefully if not.
temp_doc = self.retrieve(document)
old_metadata = temp_doc.get_db_info()
old_index_revisions = None
if old_metadata['mdt_indexes']:
# Preserving Description, User, Created Date, indexes revisions
if temp_doc.index_revisions:
old_index_revisions = temp_doc.index_revisions
old_metadata['mdt_indexes'][
'description'] = old_metadata[
'description']
old_metadata['mdt_indexes'][
'metadata_user_name'] = old_metadata[
'metadata_user_name']
old_metadata['mdt_indexes'][
'metadata_user_id'] = old_metadata[
'metadata_user_id']
old_cr_date = datetime.datetime.strftime(
old_metadata['metadata_created_date'],
settings.DATE_FORMAT)
old_metadata['mdt_indexes'][
'date'] = old_cr_date
document.set_db_info(
old_metadata['mdt_indexes'])
document.set_index_revisions(
old_index_revisions)
document.set_file_revisions_data(
current_revisions)
else:
# Preserving set revisions anyway.
document.set_file_revisions_data(
current_revisions)
except ResourceNotFound:
pass
# updating tags to sync with Django DB
self.sync_document_tags(document)
# assuming no document with this _id exists. SAVING or overwriting existing
couchdoc = CouchDocument()
couchdoc.populate_from_dms(user, document)
couchdoc.save(force_update=True)
return document
def update_document_metadata(self, document):
"""Updates document with new indexes and stores old one into another revision.
@param document: is a DMS Document() instance
"""
self.check_user(document)
if 'update_file' in document.options and document.options[
'update_file']:
name = document.get_code()
# We need to create couchdb document in case it does not exists in database.
couchdoc = CouchDocument.get_or_create(docid=name)
couchdoc.update_file_revisions_metadata(document)
couchdoc.save()
if document.old_docrule:
old_couchdoc = None
couchdoc = CouchDocument.get_or_create(docid=document.file_name)
try:
old_couchdoc = CouchDocument.get(docid=document.old_name_code)
except Exception, e:
log.error('%s' % e)
pass
if old_couchdoc:
# Migrate from existing CouchDB document
couchdoc.migrate_metadata_for_docrule(document, old_couchdoc)
couchdoc.save()
old_couchdoc.delete()
else:
# store from current Document() instance
user = document.user
couchdoc.populate_from_dms(user, document)
couchdoc.save()
# We have to do it after moving document names.
if document.new_indexes and document.file_name:
couchdoc = CouchDocument.get(docid=document.file_name)
couchdoc.update_indexes_revision(document)
couchdoc.save()
document = couchdoc.populate_into_dms(document)
return document
def store(self, document):
"""Stores CouchDB object into DB.
(Updates or overwrites CouchDB document)
@param document: is a DMS Document() instance
"""
# FIXME: Refactor me. We should upload new "secondary_indexes" or metatags with update() workflow,
# not a create(), like it is now. Because this method is a mess.
docrule = document.get_docrule()
# doing nothing for no docrule documents
if docrule.uncategorized:
return document
else:
user = self.check_user(document)
processor = DocumentProcessor()
# FIXME: there might be more than one mapping
mapping = docrule.get_docrule_plugin_mappings()
# doing nothing for documents without mapping has DB plugins
if not mapping.get_database_storage_plugins():
return document
else:
# if not exists all required metadata getting them from docrule retrieve sequence
if not document.file_revision_data:
# HACK: Preserving db_info here... (May be Solution!!!)
db_info = document.get_db_info()
document = processor.read(document.file_name,
options={
'only_metadata': True,
'user': document.user
})
# saving NEW file_revision_data ONLY if they exist in new uploaded doc (Preserving old indexes)
if db_info:
# Storing new indexes
document.set_db_info(db_info)
else:
# TODO: move this code into a proper place (UPDATE method)
# Asking couchdb about if old file_revision_data exists and updating them properly
current_revisions = document.file_revision_data
try:
# Only if document exists in DB. Falling gracefully if not.
temp_doc = self.retrieve(document)
old_metadata = temp_doc.get_db_info()
old_index_revisions = None
if old_metadata['mdt_indexes']:
# Preserving Description, User, Created Date, indexes revisions
if temp_doc.index_revisions:
old_index_revisions = temp_doc.index_revisions
old_metadata['mdt_indexes'][
'description'] = old_metadata[
'description']
old_metadata['mdt_indexes'][
'metadata_user_name'] = old_metadata[
'metadata_user_name']
old_metadata['mdt_indexes'][
'metadata_user_id'] = old_metadata[
'metadata_user_id']
old_cr_date = datetime.datetime.strftime(
old_metadata['metadata_created_date'],
settings.DATE_FORMAT)
old_metadata['mdt_indexes'][
'date'] = old_cr_date
document.set_db_info(
old_metadata['mdt_indexes'])
document.set_index_revisions(
old_index_revisions)
document.set_file_revisions_data(
current_revisions)
else:
# Preserving set revisions anyway.
document.set_file_revisions_data(
current_revisions)
except ResourceNotFound:
pass
# updating tags to sync with Django DB
self.sync_document_tags(document)
# assuming no document with this _id exists. SAVING or overwriting existing
couchdoc = CouchDocument()
couchdoc.populate_from_dms(user, document)
couchdoc.save(force_update=True)
return document
def get_revisions(self):
""" Returns list of doc's deleted revisions in list of tuples (code, revision)
e.g.: [('ADL-0001', '1'), ('BBB-0001', '3'), ... ] """
deleted_revisions = CouchDocument.view('dmscouch/deleted_files_revisions')
results = [(doc.get_id, doc['deleted_revision']) for doc in deleted_revisions]
return results