def dokument(identifier):
"""
Gibt Dokumenten-Detailseite aus
"""
result = db.get_submissions(references=[identifier],
get_attachments=True,
get_consultations=True,
get_thumbnails=True)
if len(result) == 0:
abort(404)
return render_template('dokument_detailseite.html', submission=result[0])
def dokument(identifier):
"""
Gibt Dokumenten-Detailseite aus
"""
result = db.get_submissions(references=[identifier],
get_attachments=True,
get_consultations=True,
get_thumbnails=True)
if len(result) == 0:
abort(404)
return render_template('dokument_detailseite.html', submission=result[0])
def api_documents():
"""
API-Methode zur Suche von Dokumenten bzw. zum Abruf eines einzelnen
Dokuments anhand einer Kennung (reference).
Ist der URL-Parameter "reference" angegeben, handelt es sich um eine
Dokumentenabfrage anhand der Kennung(en). Ansonsten ist es eine Suche.
"""
start_time = time.time()
jsonp_callback = request.args.get('callback', None)
ref = request.args.get('reference', '')
references = ref.split(',')
if references == ['']:
references = None
output = request.args.get('output', '').split(',')
q = request.args.get('q', '*:*')
fq = request.args.get('fq', '')
sort = request.args.get('sort', 'score desc')
start = int(request.args.get('start', '0'))
numdocs = int(request.args.get('docs', '10'))
date_param = request.args.get('date', '')
get_attachments = 'attachments' in output
get_thumbnails = 'thumbnails' in output and get_attachments
get_consultations = 'consultations' in output
get_facets = 'facets' in output
#get_relations = 'relations' in output
request_info = {} # Info über die Anfrage
query = False
docs = False
submission_ids = []
# TODO: entscheiden, was mit get_relations passiert
"""
Anhand der übergebenen Parameter wird entschieden, ob eine Solr-Suche
durchgeführt wird, oder ob die Abfrage direkt anhand von Kennungen
(references) erfolgen kann.
"""
if references is None:
# Suche wird durchgeführt
# (References-Liste via Suchmaschine füllen)
query = db.query_submissions(q=q, fq=fq, sort=sort, start=start,
docs=numdocs, date=date_param, facets=get_facets)
if query['numhits'] > 0:
submission_ids = [x['_id'] for x in query['result']]
else:
docs = []
else:
# Direkte Abfrage
request_info = {
'references': references
}
request_info['output'] = output
# Abrufen der benötigten Dokumente aus der Datenbank
if references is not None:
docs = db.get_submissions(references=references,
get_attachments=get_attachments,
get_consultations=get_consultations,
get_thumbnails=get_thumbnails)
elif len(submission_ids) > 0:
docs = db.get_submissions(submission_ids=submission_ids,
get_attachments=get_attachments,
get_consultations=get_consultations,
get_thumbnails=get_thumbnails)
ret = {
'status': 0,
'duration': int((time.time() - start_time) * 1000),
'request': request_info,
'response': {}
}
if docs:
ret['response']['documents'] = docs
ret['response']['numdocs'] = len(docs)
if query and 'maxscore' in query:
ret['response']['maxscore'] = query['maxscore']
for n in range(len(docs)):
docs[n]['reference'] = docs[n]['identifier']
del docs[n]['identifier']
if query:
ret['response']['numhits'] = query['numhits']
if get_facets and 'facets' in query:
ret['response']['facets'] = query['facets']
ret['response']['start'] = start
ret['request']['sort'] = sort
json_output = json.dumps(ret, cls=util.MyEncoder, sort_keys=True)
if jsonp_callback is not None:
json_output = jsonp_callback + '(' + json_output + ')'
response = make_response(json_output, 200)
response.mimetype = 'application/json'
response.headers['Expires'] = util.expires_date(hours=24)
response.headers['Cache-Control'] = util.cache_max_age(hours=24)
return response
def api_documents():
"""
API-Methode zur Suche von Dokumenten bzw. zum Abruf eines einzelnen
Dokuments anhand einer Kennung (reference).
Ist der URL-Parameter "reference" angegeben, handelt es sich um eine
Dokumentenabfrage anhand der Kennung(en). Ansonsten ist es eine Suche.
"""
start_time = time.time()
jsonp_callback = request.args.get('callback', None)
ref = request.args.get('reference', '')
references = ref.split(',')
if references == ['']:
references = None
output = request.args.get('output', '').split(',')
q = request.args.get('q', '*:*')
fq = request.args.get('fq', '')
sort = request.args.get('sort', 'score desc')
start = int(request.args.get('start', '0'))
numdocs = int(request.args.get('docs', '10'))
date_param = request.args.get('date', '')
get_attachments = 'attachments' in output
get_thumbnails = 'thumbnails' in output and get_attachments
get_consultations = 'consultations' in output
get_facets = 'facets' in output
#get_relations = 'relations' in output
request_info = {} # Info über die Anfrage
query = False
docs = False
submission_ids = []
# TODO: entscheiden, was mit get_relations passiert
"""
Anhand der übergebenen Parameter wird entschieden, ob eine ES-Suche
durchgeführt wird, oder ob die Abfrage direkt anhand von Kennungen
(references) erfolgen kann.
"""
if references is None:
# Suche wird durchgeführt
# (References-Liste via Suchmaschine füllen)
query = db.query_submissions(q=q,
fq=fq,
sort=sort,
start=start,
docs=numdocs,
date=date_param,
facets=get_facets)
if query['numhits'] > 0:
submission_ids = [x['_id'] for x in query['result']]
else:
docs = []
else:
# Direkte Abfrage
request_info = {'references': references}
request_info['output'] = output
# Abrufen der benötigten Dokumente aus der Datenbank
if references is not None:
docs = db.get_submissions(references=references,
get_attachments=get_attachments,
get_consultations=get_consultations,
get_thumbnails=get_thumbnails)
elif len(submission_ids) > 0:
docs = db.get_submissions(submission_ids=submission_ids,
get_attachments=get_attachments,
get_consultations=get_consultations,
get_thumbnails=get_thumbnails)
ret = {
'status': 0,
'duration': int((time.time() - start_time) * 1000),
'request': request_info,
'response': {}
}
if docs:
ret['response']['documents'] = docs
ret['response']['numdocs'] = len(docs)
if query and 'maxscore' in query:
ret['response']['maxscore'] = query['maxscore']
for n in range(len(docs)):
docs[n]['reference'] = docs[n]['identifier']
del docs[n]['identifier']
if query:
ret['response']['numhits'] = query['numhits']
if get_facets and 'facets' in query:
ret['response']['facets'] = query['facets']
ret['response']['start'] = start
ret['request']['sort'] = sort
ret['request']['fq'] = fq
json_output = json.dumps(ret, cls=util.MyEncoder, sort_keys=True)
if jsonp_callback is not None:
json_output = jsonp_callback + '(' + json_output + ')'
response = make_response(json_output, 200)
response.mimetype = 'application/json'
response.headers['Expires'] = util.expires_date(hours=24)
response.headers['Cache-Control'] = util.cache_max_age(hours=24)
return response
async def search_submissions(template):
query = request.args.get('query')
return jsonify(await (db.search_submissions(template, query)
if query else db.get_submissions(template)))
def api_documents():
"""
API-Methode zur Suche von Dokumenten bzw. zum Abruf eines einzelnen
Dokuments anhand einer Kennung (reference).
Ist der URL-Parameter "reference" angegeben, handelt es sich um eine
Dokumentenabfrage anhand der Kennung(en). Ansonsten ist es eine Suche.
"""
start_time = time.time()
jsonp_callback = request.args.get("callback", None)
ref = request.args.get("reference", "")
references = ref.split(",")
if references == [""]:
references = None
output = request.args.get("output", "").split(",")
q = request.args.get("q", "*:*")
fq = request.args.get("fq", "")
sort = request.args.get("sort", "score desc")
start = int(request.args.get("start", "0"))
numdocs = int(request.args.get("docs", "10"))
date_param = request.args.get("date", "")
get_attachments = "attachments" in output
get_thumbnails = "thumbnails" in output and get_attachments
get_consultations = "consultations" in output
get_facets = "facets" in output
# get_relations = 'relations' in output
request_info = {} # Info über die Anfrage
query = False
docs = False
submission_ids = []
# TODO: entscheiden, was mit get_relations passiert
"""
Anhand der übergebenen Parameter wird entschieden, ob eine Solr-Suche
durchgeführt wird, oder ob die Abfrage direkt anhand von Kennungen
(references) erfolgen kann.
"""
if references is None:
# Suche wird durchgeführt
# (References-Liste via Suchmaschine füllen)
query = db.query_submissions(
q=q, fq=fq, sort=sort, start=start, docs=numdocs, date=date_param, facets=get_facets
)
if query["numhits"] > 0:
submission_ids = [x["_id"] for x in query["result"]]
else:
docs = []
else:
# Direkte Abfrage
request_info = {"references": references}
request_info["output"] = output
# Abrufen der benötigten Dokumente aus der Datenbank
if references is not None:
docs = db.get_submissions(
references=references,
get_attachments=get_attachments,
get_consultations=get_consultations,
get_thumbnails=get_thumbnails,
)
elif len(submission_ids) > 0:
docs = db.get_submissions(
submission_ids=submission_ids,
get_attachments=get_attachments,
get_consultations=get_consultations,
get_thumbnails=get_thumbnails,
)
ret = {"status": 0, "duration": int((time.time() - start_time) * 1000), "request": request_info, "response": {}}
if docs:
ret["response"]["documents"] = docs
ret["response"]["numdocs"] = len(docs)
if query and "maxscore" in query:
ret["response"]["maxscore"] = query["maxscore"]
for n in range(len(docs)):
docs[n]["reference"] = docs[n]["identifier"]
del docs[n]["identifier"]
if query:
ret["response"]["numhits"] = query["numhits"]
if get_facets and "facets" in query:
ret["response"]["facets"] = query["facets"]
ret["response"]["start"] = start
ret["request"]["sort"] = sort
json_output = json.dumps(ret, cls=util.MyEncoder, sort_keys=True)
if jsonp_callback is not None:
json_output = jsonp_callback + "(" + json_output + ")"
response = make_response(json_output, 200)
response.mimetype = "application/json"
response.headers["Expires"] = util.expires_date(hours=24)
response.headers["Cache-Control"] = util.cache_max_age(hours=24)
return response
