More or less working search. I may or may not have broken everything

This commit is contained in:
simon987 2018-04-04 21:21:24 -04:00
parent f8251f86f9
commit 410261da41
20 changed files with 3542 additions and 67 deletions

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@ -61,15 +61,17 @@ class Indexer:
self.es.indices.create(index=self.index_name)
self.es.indices.close(index=self.index_name)
self.es.indices.put_settings(body='{"analysis": {"analyzer": {"path_analyser": {'
'"tokenizer": "path_tokenizer"}}, "tokenizer": {"path_tokenizer": {'
'"type": "path_hierarchy"}}}}', index=self.index_name)
self.es.indices.put_settings(body='{"analysis":{"tokenizer":{"path_tokenizer":{"type":"path_hierarchy"}}}}', index=self.index_name)
self.es.indices.put_settings(body='{"analysis":{"tokenizer":{"my_nGram_tokenizer":{"type":"nGram","min_gram":3,"max_gram":4}}}}')
self.es.indices.put_settings(body='{"analysis":{"analyzer":{"path_analyser":{"tokenizer":"path_tokenizer"}}}}')
self.es.indices.put_settings(body='{"analysis":{"analyzer":{"my_nGram":{"tokenizer":"my_nGram_tokenizer"}}}}')
self.es.indices.put_mapping(body='{"properties": {'
'"name": {"type": "text", "analyzer": "path_analyser", "copy_to": "suggest-path"},'
'"path": {"type": "text", "analyzer": "path_analyser", "copy_to": "suggest-path"},'
'"suggest-path": {"type": "completion", "analyzer": "keyword"},'
'"mime": {"type": "keyword"},'
'"directory": {"type": "keyword"}'
'"directory": {"type": "keyword"},'
'"name": {"analyzer": "my_nGram", "type": "text"}'
'}}', doc_type="file", index=self.index_name)
self.es.indices.open(index=self.index_name)

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@ -127,10 +127,12 @@ class GenericFileParser(FileParser):
file_stat = os.stat(full_path)
path, name = os.path.split(full_path)
name, extension = os.path.splitext(name)
info["size"] = file_stat.st_size
info["path"] = path # todo save relative path
info["name"] = name
info["extension"] = extension[1:]
info["mtime"] = file_stat.st_mtime
for calculator in self.checksum_calculators:
@ -264,13 +266,17 @@ class PictureFileParser(GenericFileParser):
print("picture")
with open(full_path, "rb") as image_file:
with Image.open(image_file) as image:
try:
with open(full_path, "rb") as image_file:
with Image.open(image_file) as image:
info["mode"] = image.mode
info["format"] = image.format
info["width"] = image.width
info["height"] = image.height
info["mode"] = image.mode
info["format"] = image.format
info["width"] = image.width
info["height"] = image.height
except OSError as e:
print(e.strerror)
pass
return info

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@ -4,10 +4,4 @@ flask_bcrypt
elasticsearch
python-magic
requests
apscheduler
ffmpeg-python
fonttools
chardet
exifread
humanfriendly
Pillow
apscheduler

44
run.py
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@ -6,6 +6,8 @@ import json
import os
import humanfriendly
from search import Search
from PIL import Image
from io import BytesIO
app = Flask(__name__)
app.secret_key = "A very secret key"
@ -15,6 +17,8 @@ tm = TaskManager(storage)
search = Search("changeme")
def get_dir_size(path):
size = 0
@ -45,7 +49,8 @@ def file(doc_id):
doc = search.get_doc(doc_id)["_source"]
directory = storage.dirs()[doc["directory"]]
full_path = os.path.join(directory.path, doc["path"], doc["name"])
extension = "" if doc["extension"] is None or doc["extension"] == "" else "." + doc["extension"]
full_path = os.path.join(directory.path, doc["path"], doc["name"] + extension)
return send_file(full_path, mimetype=doc["mime"], as_attachment=True, attachment_filename=doc["name"])
@ -55,32 +60,53 @@ def download(doc_id):
doc = search.get_doc(doc_id)["_source"]
directory = storage.dirs()[doc["directory"]]
full_path = os.path.join(directory.path, doc["path"], doc["name"])
extension = "" if doc["extension"] is None or doc["extension"] == "" else "." + doc["extension"]
full_path = os.path.join(directory.path, doc["path"], doc["name"] + extension)
return send_file(full_path)
@app.route("/thumb/<int:dir_id>/<doc_id>")
def thumb(dir_id, doc_id):
@app.route("/thumb/<doc_id>")
def thumb(doc_id):
if dir_id in storage.dirs():
doc = search.get_doc(doc_id)
return app.send_static_file(os.path.join("thumbnails/", str(dir_id), doc_id))
if doc is not None:
tn_path = os.path.join("static/thumbnails/", str(doc["_source"]["directory"]), doc_id)
print(tn_path)
if os.path.isfile(tn_path):
return send_file(tn_path)
else:
print("tn not found")
default_thumbnail = BytesIO()
Image.new("RGB", (255, 128), (0, 0, 0)).save(default_thumbnail, "JPEG")
default_thumbnail.seek(0)
return send_file(default_thumbnail, "image/jpeg")
else:
abort(404)
print("doc is none")
default_thumbnail = BytesIO()
Image.new("RGB", (255, 128), (0, 0, 0)).save(default_thumbnail, "JPEG")
default_thumbnail.seek(0)
return send_file(default_thumbnail, "image/jpeg")
@app.route("/")
def search_page():
return render_template("search.html")
@app.route("/list")
def search_liste_page():
return render_template("searchList.html")
@app.route("/search")
def search_route():
page = search.search()
query = request.args.get("q")
query = "" if query is None else query
page = search.search(query)
return json.dumps(page)

View File

@ -1,8 +1,9 @@
import elasticsearch
from elasticsearch import helpers
import requests
import json
import elasticsearch
import requests
from elasticsearch import helpers
class Search:
@ -50,9 +51,34 @@ class Search:
except:
return 0
def search(self):
page = self.es.search(body={"query": {"term": {"directory": 1}}, "size": 40},
index=self.index_name, scroll="3m")
def search(self, query):
print(query)
page = self.es.search(body={"query":
{"multi_match": {
"query": query,
"fields": ["name", "content"]
}},
"sort": [
"_score"
],
"highlight": {
"fields": {
"content": {"pre_tags": ["<span class='hl'>"], "post_tags": ["</span>"]},
"name": {"pre_tags": ["<span class='hl'>"], "post_tags": ["</span>"]},
}
},
"suggest": {
"path": {
"prefix": query,
"completion": {
"field": "suggest-path",
"skip_duplicates": True
}
}
},
"size": 40}, index=self.index_name, scroll="3m")
return page
@ -64,4 +90,7 @@ class Search:
def get_doc(self, doc_id):
return self.es.get(index=self.index_name, id=doc_id, doc_type="file")
try:
return self.es.get(index=self.index_name, id=doc_id, doc_type="file")
except elasticsearch.exceptions.NotFoundError:
return None

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@ -29,7 +29,12 @@ class GenericFileParserTest(TestCase):
def test_parse_name(self):
result = self.parser.parse("test_parse.txt")
self.assertEqual(result["name"], "test_parse.txt")
self.assertEqual(result["name"], "test_parse")
def test_parse_ext(self):
result = self.parser.parse("test_parse.txt")
self.assertEqual(result["extension"], "txt")
def test_parse_md5(self):
result = self.parser.parse("test_parse.txt")

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@ -0,0 +1,2 @@
cat1.wav https://archive.org/details/BoulangerColette
vid1.mp4 https://archive.org/details/electricsheep-flock-244-32500-1/

242
spec/test_files/fix.csv Normal file
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@ -0,0 +1,242 @@
rosbagTimestamp,header,seq,stamp,secs,nsecs,frame_id,status,status,service,latitude,longitude,altitude,position_covariance,position_covariance_type
1497155692699200530,,7,,1491157579,160773992,/imu,,0,1,39.5369442,-122.3383189,70.212,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155692944880129,,8,,1491157579,405828952,/imu,,0,1,39.5369442,-122.3383189,70.214,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155693205080145,,9,,1491157579,662808895,/imu,,0,1,39.5369442,-122.338319,70.217,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155693448665182,,10,,1491157579,910070896,/imu,,0,1,39.5369442,-122.338319,70.22,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155693701357896,,11,,1491157580,160749912,/imu,,0,1,39.5369442,-122.338319,70.224,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155693948406723,,12,,1491157580,410056114,/imu,,0,1,39.5369443,-122.3383191,70.222,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155694199249441,,13,,1491157580,660702943,/imu,,0,1,39.5369443,-122.3383191,70.224,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
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1497155694698414318,,15,,1491157581,159912109,/imu,,0,1,39.5369442,-122.3383192,70.232,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
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1497155695200456558,,17,,1491157581,661637067,/imu,,0,1,39.5369442,-122.3383192,70.236,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155695449647452,,18,,1491157581,910274028,/imu,,0,1,39.5369442,-122.3383193,70.241,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155695696654172,,19,,1491157582,156757116,/imu,,0,1,39.5369442,-122.3383193,70.246,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155695950408543,,20,,1491157582,411731958,/imu,,0,1,39.5369441,-122.3383193,70.248,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155696198959694,,21,,1491157582,660002946,/imu,,0,1,39.5369441,-122.3383193,70.253,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155696450044493,,22,,1491157582,910267114,/imu,,0,1,39.5369441,-122.3383193,70.26,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155696698862343,,23,,1491157583,159172058,/imu,,0,1,39.536944,-122.3383193,70.264,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155696949976702,,24,,1491157583,411098003,/imu,,0,1,39.536944,-122.3383193,70.265,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155697196047935,,25,,1491157583,657394886,/imu,,0,1,39.536944,-122.3383193,70.268,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155697449888530,,26,,1491157583,911263942,/imu,,0,1,39.536944,-122.3383193,70.273,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155697702363698,,27,,1491157584,160381078,/imu,,0,1,39.536944,-122.3383193,70.275,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155697951978681,,28,,1491157584,412154912,/imu,,0,1,39.536944,-122.3383193,70.277,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155698198757549,,29,,1491157584,660244941,/imu,,0,1,39.536944,-122.3383193,70.282,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155698449013208,,30,,1491157584,907248020,/imu,,0,1,39.536944,-122.3383193,70.283,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155698698816621,,31,,1491157585,160113096,/imu,,0,1,39.536944,-122.3383193,70.286,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155698951458599,,32,,1491157585,410294055,/imu,,0,1,39.536944,-122.3383193,70.29,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155699201636690,,33,,1491157585,660209894,/imu,,0,1,39.536944,-122.3383193,70.292,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155699450118119,,34,,1491157585,910845041,/imu,,0,1,39.536944,-122.3383193,70.29,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
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1497155699944604249,,36,,1491157586,405736923,/imu,,0,1,39.5369439,-122.3383193,70.297,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155700198733961,,37,,1491157586,660314083,/imu,,0,1,39.5369439,-122.3383193,70.3,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155700448780955,,38,,1491157586,910307884,/imu,,0,1,39.5369439,-122.3383193,70.299,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155700699622454,,39,,1491157587,160471916,/imu,,0,1,39.5369439,-122.3383193,70.302,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155700948941462,,40,,1491157587,410373926,/imu,,0,1,39.5369439,-122.3383192,70.303,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155701194175133,,41,,1491157587,655395030,/imu,,0,1,39.5369439,-122.338319,70.311,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155701450504697,,42,,1491157587,911648988,/imu,,0,1,39.5369439,-122.3383188,70.307,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155701698065310,,43,,1491157588,159014940,/imu,,0,1,39.5369439,-122.3383186,70.306,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155701949455364,,44,,1491157588,410485029,/imu,,0,1,39.5369439,-122.3383184,70.303,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155702199158214,,45,,1491157588,660476922,/imu,,0,1,39.5369438,-122.3383179,70.305,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155702448983975,,46,,1491157588,910530090,/imu,,0,1,39.5369438,-122.3383174,70.301,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155702695878475,,47,,1491157589,155520915,/imu,,0,1,39.5369439,-122.3383166,70.299,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
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1497155703449223652,,50,,1491157589,910044908,/imu,,0,1,39.5369443,-122.3383119,70.296,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
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1497155705697950603,,59,,1491157592,159246921,/imu,,0,1,39.5369501,-122.3382739,70.364,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
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1497155706201433941,,61,,1491157592,662067890,/imu,,0,1,39.5369517,-122.338263,70.384,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
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1497155706949400478,,64,,1491157593,410562038,/imu,,0,1,39.5369532,-122.3382449,70.431,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155707197712675,,65,,1491157593,659317970,/imu,,0,1,39.5369534,-122.3382385,70.439,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
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1497155707699543833,,67,,1491157594,161025047,/imu,,0,1,39.5369529,-122.3382246,70.466,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155707961802428,,68,,1491157594,423089027,/imu,,0,1,39.5369518,-122.338217,70.474,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155708194211324,,69,,1491157594,654262065,/imu,,0,1,39.5369504,-122.3382094,70.483,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
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1497155732697234084,,167,,1491157619,157946109,/imu,,0,1,39.5359355,-122.3380108,68.172,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
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1497155733198443881,,169,,1491157619,659679889,/imu,,0,1,39.5359356,-122.3380108,68.163,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
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1497155737447683346,,186,,1491157623,909085035,/imu,,0,1,39.5359363,-122.3380107,68.162,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
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1497155739701050572,,195,,1491157626,158618927,/imu,,0,1,39.5359365,-122.3380106,68.207,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155739941907268,,196,,1491157626,402844905,/imu,,0,1,39.5359365,-122.3380107,68.212,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155740204060764,,197,,1491157626,657048940,/imu,,0,1,39.5359366,-122.3380107,68.218,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155740445747036,,198,,1491157626,907058954,/imu,,0,1,39.5359366,-122.3380107,68.224,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155740695534180,,199,,1491157627,157113075,/imu,,0,1,39.5359366,-122.3380108,68.233,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155740950635644,,200,,1491157627,409611940,/imu,,0,1,39.5359366,-122.3380108,68.238,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155741195706305,,201,,1491157627,656493902,/imu,,0,1,39.5359367,-122.3380108,68.247,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155741448978653,,202,,1491157627,910146951,/imu,,0,1,39.5359367,-122.3380108,68.256,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155741697159340,,203,,1491157628,157885074,/imu,,0,1,39.5359367,-122.3380108,68.262,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155741945685140,,204,,1491157628,406941890,/imu,,0,1,39.5359367,-122.3380108,68.272,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155742198062351,,205,,1491157628,659518003,/imu,,0,1,39.5359367,-122.3380108,68.279,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155742447214777,,206,,1491157628,907263994,/imu,,0,1,39.5359367,-122.3380108,68.285,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155742692417228,,207,,1491157629,152875900,/imu,,0,1,39.5359367,-122.3380108,68.296,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155742945377934,,208,,1491157629,406910896,/imu,,0,1,39.5359367,-122.3380108,68.3,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155743196856056,,209,,1491157629,658334016,/imu,,0,1,39.5359367,-122.3380108,68.307,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155743447716525,,210,,1491157629,909028053,/imu,,0,1,39.5359367,-122.3380108,68.317,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155743695461308,,211,,1491157630,156981945,/imu,,0,1,39.5359367,-122.3380108,68.322,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155743945862817,,212,,1491157630,407001018,/imu,,0,1,39.5359366,-122.3380108,68.33,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155744200256486,,213,,1491157630,657071113,/imu,,0,1,39.5359366,-122.3380108,68.338,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155744446631301,,214,,1491157630,906867980,/imu,,0,1,39.5359366,-122.3380108,68.345,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155744697576850,,215,,1491157631,156963109,/imu,,0,1,39.5359365,-122.3380108,68.352,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155744949039484,,216,,1491157631,410414934,/imu,,0,1,39.5359365,-122.3380108,68.359,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155745197472728,,217,,1491157631,658984899,/imu,,0,1,39.5359364,-122.3380108,68.367,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155745445158027,,218,,1491157631,904109001,/imu,,0,1,39.5359364,-122.3380108,68.38,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155745695522866,,219,,1491157632,157011032,/imu,,0,1,39.5359364,-122.3380108,68.393,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155745952775530,,220,,1491157632,407785892,/imu,,0,1,39.5359363,-122.3380108,68.402,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155746199169863,,221,,1491157632,660240888,/imu,,0,1,39.5359363,-122.3380108,68.412,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155746445926295,,222,,1491157632,907088994,/imu,,0,1,39.5359362,-122.3380108,68.424,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155746696670470,,223,,1491157633,157870054,/imu,,0,1,39.5359361,-122.3380109,68.436,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155746946947692,,224,,1491157633,407990932,/imu,,0,1,39.5359361,-122.3380109,68.449,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155747195884782,,225,,1491157633,657109022,/imu,,0,1,39.535936,-122.3380109,68.459,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155747450513696,,226,,1491157633,909704923,/imu,,0,1,39.535936,-122.3380109,68.47,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155747696332549,,227,,1491157634,157325983,/imu,,0,1,39.5359359,-122.3380109,68.477,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155747945577446,,228,,1491157634,407183885,/imu,,0,1,39.5359358,-122.3380109,68.485,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155748193006721,,229,,1491157634,653882026,/imu,,0,1,39.5359357,-122.3380109,68.491,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155748448162210,,230,,1491157634,909323930,/imu,,0,1,39.5359357,-122.3380109,68.502,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155748696751922,,231,,1491157635,157892942,/imu,,0,1,39.5359357,-122.338011,68.511,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155748947535713,,232,,1491157635,408888101,/imu,,0,1,39.5359356,-122.3380109,68.517,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155749201393009,,233,,1491157635,662369012,/imu,,0,1,39.5359355,-122.338011,68.527,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155749445983993,,234,,1491157635,907316923,/imu,,0,1,39.5359355,-122.338011,68.536,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155749699176870,,235,,1491157636,159857988,/imu,,0,1,39.5359354,-122.338011,68.547,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155749946452996,,236,,1491157636,407423973,/imu,,0,1,39.5359354,-122.338011,68.561,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155750197486026,,237,,1491157636,657428979,/imu,,0,1,39.5359353,-122.338011,68.573,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155750446607040,,238,,1491157636,907505035,/imu,,0,1,39.5359353,-122.338011,68.585,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155750696678877,,239,,1491157637,158029079,/imu,,0,1,39.5359352,-122.338011,68.598,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155750943246128,,240,,1491157637,404588937,/imu,,0,1,39.5359351,-122.338011,68.614,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155751198753064,,241,,1491157637,660267114,/imu,,0,1,39.5359351,-122.338011,68.627,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155751448949737,,242,,1491157637,910247087,/imu,,0,1,39.535935,-122.338011,68.637,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155751710305542,,243,,1491157638,158471107,/imu,,0,1,39.535935,-122.338011,68.642,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155751949756491,,244,,1491157638,410789012,/imu,,0,1,39.5359349,-122.3380111,68.654,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155752202861277,,245,,1491157638,661005973,/imu,,0,1,39.5359348,-122.338011,68.664,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155752449210439,,246,,1491157638,910099983,/imu,,0,1,39.5359347,-122.3380111,68.672,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1497155752699561822,,247,,1491157639,161111116,/imu,,0,1,39.5359347,-122.338011,68.678,"[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]",0
1 rosbagTimestamp header seq stamp secs nsecs frame_id status status service latitude longitude altitude position_covariance position_covariance_type
2 1497155692699200530 7 1491157579 160773992 /imu 0 1 39.5369442 -122.3383189 70.212 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
3 1497155692944880129 8 1491157579 405828952 /imu 0 1 39.5369442 -122.3383189 70.214 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
4 1497155693205080145 9 1491157579 662808895 /imu 0 1 39.5369442 -122.338319 70.217 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
5 1497155693448665182 10 1491157579 910070896 /imu 0 1 39.5369442 -122.338319 70.22 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
6 1497155693701357896 11 1491157580 160749912 /imu 0 1 39.5369442 -122.338319 70.224 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
7 1497155693948406723 12 1491157580 410056114 /imu 0 1 39.5369443 -122.3383191 70.222 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
8 1497155694199249441 13 1491157580 660702943 /imu 0 1 39.5369443 -122.3383191 70.224 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
9 1497155694450031554 14 1491157580 910502910 /imu 0 1 39.5369442 -122.3383192 70.228 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
10 1497155694698414318 15 1491157581 159912109 /imu 0 1 39.5369442 -122.3383192 70.232 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
11 1497155694950937611 16 1491157581 410650968 /imu 0 1 39.5369442 -122.3383192 70.234 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
12 1497155695200456558 17 1491157581 661637067 /imu 0 1 39.5369442 -122.3383192 70.236 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
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218 1497155746696670470 223 1491157633 157870054 /imu 0 1 39.5359361 -122.3380109 68.436 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
219 1497155746946947692 224 1491157633 407990932 /imu 0 1 39.5359361 -122.3380109 68.449 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
220 1497155747195884782 225 1491157633 657109022 /imu 0 1 39.535936 -122.3380109 68.459 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
221 1497155747450513696 226 1491157633 909704923 /imu 0 1 39.535936 -122.3380109 68.47 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
222 1497155747696332549 227 1491157634 157325983 /imu 0 1 39.5359359 -122.3380109 68.477 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
223 1497155747945577446 228 1491157634 407183885 /imu 0 1 39.5359358 -122.3380109 68.485 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
224 1497155748193006721 229 1491157634 653882026 /imu 0 1 39.5359357 -122.3380109 68.491 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
225 1497155748448162210 230 1491157634 909323930 /imu 0 1 39.5359357 -122.3380109 68.502 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
226 1497155748696751922 231 1491157635 157892942 /imu 0 1 39.5359357 -122.338011 68.511 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
227 1497155748947535713 232 1491157635 408888101 /imu 0 1 39.5359356 -122.3380109 68.517 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
228 1497155749201393009 233 1491157635 662369012 /imu 0 1 39.5359355 -122.338011 68.527 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
229 1497155749445983993 234 1491157635 907316923 /imu 0 1 39.5359355 -122.338011 68.536 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
230 1497155749699176870 235 1491157636 159857988 /imu 0 1 39.5359354 -122.338011 68.547 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
231 1497155749946452996 236 1491157636 407423973 /imu 0 1 39.5359354 -122.338011 68.561 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
232 1497155750197486026 237 1491157636 657428979 /imu 0 1 39.5359353 -122.338011 68.573 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
233 1497155750446607040 238 1491157636 907505035 /imu 0 1 39.5359353 -122.338011 68.585 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
234 1497155750696678877 239 1491157637 158029079 /imu 0 1 39.5359352 -122.338011 68.598 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
235 1497155750943246128 240 1491157637 404588937 /imu 0 1 39.5359351 -122.338011 68.614 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
236 1497155751198753064 241 1491157637 660267114 /imu 0 1 39.5359351 -122.338011 68.627 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
237 1497155751448949737 242 1491157637 910247087 /imu 0 1 39.535935 -122.338011 68.637 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
238 1497155751710305542 243 1491157638 158471107 /imu 0 1 39.535935 -122.338011 68.642 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
239 1497155751949756491 244 1491157638 410789012 /imu 0 1 39.5359349 -122.3380111 68.654 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
240 1497155752202861277 245 1491157638 661005973 /imu 0 1 39.5359348 -122.338011 68.664 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
241 1497155752449210439 246 1491157638 910099983 /imu 0 1 39.5359347 -122.3380111 68.672 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0
242 1497155752699561822 247 1491157639 161111116 /imu 0 1 39.5359347 -122.338011 68.678 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] 0

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static/css/fa-brands.css Normal file
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/*!
* Font Awesome Free 5.0.8 by @fontawesome - https://fontawesome.com
* License - https://fontawesome.com/license (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
*/
@font-face {
font-family: 'Font Awesome 5 Brands';
font-style: normal;
font-weight: normal;
src: url("../webfonts/fa-brands-400.eot");
src: url("../webfonts/fa-brands-400.eot?#iefix") format("embedded-opentype"), url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.woff") format("woff"), url("../webfonts/fa-brands-400.ttf") format("truetype"), url("../webfonts/fa-brands-400.svg#fontawesome") format("svg"); }
.fab {
font-family: 'Font Awesome 5 Brands'; }

14
static/css/fa-regular.css Normal file
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@ -0,0 +1,14 @@
/*!
* Font Awesome Free 5.0.8 by @fontawesome - https://fontawesome.com
* License - https://fontawesome.com/license (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
*/
@font-face {
font-family: 'Font Awesome 5 Free';
font-style: normal;
font-weight: 400;
src: url("../webfonts/fa-regular-400.eot");
src: url("../webfonts/fa-regular-400.eot?#iefix") format("embedded-opentype"), url("../webfonts/fa-regular-400.woff2") format("woff2"), url("../webfonts/fa-regular-400.woff") format("woff"), url("../webfonts/fa-regular-400.ttf") format("truetype"), url("../webfonts/fa-regular-400.svg#fontawesome") format("svg"); }
.far {
font-family: 'Font Awesome 5 Free';
font-weight: 400; }

15
static/css/fa-solid.css Normal file
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@ -0,0 +1,15 @@
/*!
* Font Awesome Free 5.0.8 by @fontawesome - https://fontawesome.com
* License - https://fontawesome.com/license (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
*/
@font-face {
font-family: 'Font Awesome 5 Free';
font-style: normal;
font-weight: 900;
src: url("../webfonts/fa-solid-900.eot");
src: url("../webfonts/fa-solid-900.eot?#iefix") format("embedded-opentype"), url("../webfonts/fa-solid-900.woff2") format("woff2"), url("../webfonts/fa-solid-900.woff") format("woff"), url("../webfonts/fa-solid-900.ttf") format("truetype"), url("../webfonts/fa-solid-900.svg#fontawesome") format("svg"); }
.fa,
.fas {
font-family: 'Font Awesome 5 Free';
font-weight: 900; }

2696
static/css/fontawesome.css vendored Normal file

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@ -11,23 +11,39 @@
padding: 0.5rem;
}
.document p {
margin-bottom: 0;
}
.document:hover p {
text-decoration: underline;
}
.badge-video {
color: #ffffff;
color: #FFFFFF;
background-color: #F27761;
}
.badge-image {
color: #ffffff;
color: #FFFFFF;
background-color: #AA99C9;
}
.badge-resolution {
color: #212529;
background-color: #ffc107;
background-color: #FFC107;
}
.card-img-top {
display: block;
min-width: 64px;
max-width: 100%;
max-height: 256px;
width: unset;
margin: 0 auto 0;
padding: 3px 3px 0 3px;
}
.card-img-overlay {
@ -54,6 +70,8 @@
.fit {
width: 100%;
height: 100%;
margin-top: 3px;
padding: 3px;
}
@media (min-width: 1200px) {
@ -62,7 +80,7 @@
}
}
@media (min-width: 1500px){
@media (min-width: 1500px) {
.container {
max-width: 1440px;
}
@ -71,7 +89,9 @@
}
}
.hl {
color: red;
}
</style>
<div class="container">
@ -79,8 +99,14 @@
<div class="card">
{# <div class="card-header">An excellent form</div>#}
<div class="card-body">
<form action=""></form>
<input id="searchBar" type="search" class="form-control" placeholder="Search">
<div class="input-group mb-2">
<div class="input-group-prepend">
<div class="input-group-text"></div>
</div>
<input id="searchBar" type="search" class="form-control" placeholder="Search">
</div>
</div>
</div>
@ -103,7 +129,7 @@
statsCardBody.setAttribute("class", "card-body");
var stat = document.createElement("p");
stat.appendChild(document.createTextNode(searchResult["hits"]["total"] + " results"));
stat.appendChild(document.createTextNode(searchResult["hits"]["total"] + " results in " + searchResult["took"] + "ms"));
statsCardBody.appendChild(stat);
statsCard.appendChild(statsCardBody);
@ -156,6 +182,7 @@
* @param documentId
*/
function gifOver(thumbnail, documentId) {
var callee = arguments.callee;
thumbnail.addEventListener("mouseover", function () {
@ -163,25 +190,10 @@
window.setTimeout(function() {
if (thumbnail.mouseStayedOver) {
thumbnail.removeEventListener('mouseover', arguments.callee, false);
thumbnail.removeEventListener('mouseover', callee, false);
//Load gif
var gifImage = document.createElement("img");
gifImage.setAttribute("src", "/file/" + documentId);
gifImage.setAttribute("class", "fit");
thumbnail.parentNode.appendChild(gifImage);
thumbnail.setAttribute("style", "display: none");
//Toggle gif/thumbnail on hover
gifImage.addEventListener("mouseout", function() {
gifImage.setAttribute("style", "display: none");
thumbnail.setAttribute("style", "");
});
thumbnail.addEventListener("mouseover", function () {
gifImage.setAttribute("style", "");
thumbnail.setAttribute("style", "display: none");
});
thumbnail.setAttribute("src", "/file/" + documentId);
}
}, 750); //todo grab hover time from config
@ -190,6 +202,8 @@
thumbnail.addEventListener("mouseout", function() {
//Reset timer
thumbnail.mouseStayedOver = false;
thumbnail.setAttribute("src", "/thumb/" + documentId);
})
}
@ -210,6 +224,7 @@
vidSource.setAttribute("type", "video/webm");
video.appendChild(vidSource);
video.setAttribute("class", "fit");
video.setAttribute("poster", "/thumb/" + documentId);
imgWrapper.appendChild(video);
//Video hover
@ -247,6 +262,7 @@
});
}
var counter = 0;
/**
*
* @param hit
@ -265,16 +281,18 @@
link.setAttribute("href", "/document/" + hit["_id"]);
link.setAttribute("target", "_blank");
//Title
var title = document.createElement("p");
title.setAttribute("class", "file-title");
title.appendChild(document.createTextNode(hit["_source"]["name"]));
title.setAttribute("title", hit["_source"]["name"]);
var extention = hit["_source"].hasOwnProperty("extension") && hit["_source"]["extension"] !== null ? "." + hit["_source"]["extension"] : "";
title.insertAdjacentHTML('afterbegin', hit["highlight"]["name"] + extention);
title.setAttribute("title", hit["_source"]["path"]);
docCard.appendChild(title);
var tagContainer = document.createElement("div");
tagContainer.setAttribute("class", "card-text");
if (hit["_source"].hasOwnProperty("mime")) {
if (hit["_source"].hasOwnProperty("mime") && hit["_source"]["mime"] !== null) {
var tags = [];
var thumbnail = null;
@ -291,9 +309,8 @@
case "image":
thumbnail = document.createElement("img");
thumbnail.setAttribute("class", "card-img-top");
thumbnail.setAttribute("src", "/thumb/" + hit["_source"]["directory"] + "/" + hit["_id"]);
thumbnail.setAttribute("src", "/thumb/" + hit["_id"]);
break;
}
//Thumbnail overlay
@ -351,6 +368,14 @@
break;
}
//Content
if (hit.hasOwnProperty("highlight") && hit["highlight"].hasOwnProperty("content")) {
var contentDiv = document.createElement("div");
contentDiv.innerHTML = hit["highlight"]["content"][0];
docCard.appendChild(contentDiv);
}
//Size tag
var sizeTag = document.createElement("small");
sizeTag.appendChild(document.createTextNode(humanFileSize(hit["_source"]["size"])));
@ -387,6 +412,7 @@
function makePageIndicator(searchResult) {
var pageIndicator = document.createElement("div");
pageIndicator.appendChild(document.createTextNode(docCount + " / " +searchResult["hits"]["total"]));
return pageIndicator;
}
@ -437,7 +463,7 @@
}
});
searchBar.addEventListener("keydown", function () {
searchBar.addEventListener("keyup", function () {
//Clear old search results
var searchResults = document.getElementById("searchResults");
@ -446,6 +472,7 @@
}
var query = searchBar.value;
console.log("query: " + query);
@ -471,7 +498,7 @@
initPopover();
}
};
xhttp.open("GET", "/search", true);
xhttp.open("GET", "/search?q=" + query, true);
xhttp.send();
});

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templates/searchList.html Normal file
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{% extends "layout.html" %}
{% set active_page = "search" %}
{% block title %}Search{% endblock title %}
{% block body %}
<style>
.document {
padding: 0.5rem;
}
.document p {
margin-bottom: 0;
}
.document:hover p {
text-decoration: underline;
}
.badge-video {
color: #FFFFFF;
background-color: #F27761;
margin-right: 3px;
}
.badge-image {
color: #FFFFFF;
background-color: #AA99C9;
margin-right: 3px;
}
.badge-resolution {
color: #212529;
background-color: #FFC107;
}
.card-img-top {
display: block;
min-width: 64px;
max-width: 100%;
max-height: 256px;
width: unset;
margin: 0 auto 0;
padding: 3px 3px 0 3px;
}
.card-img-overlay {
pointer-events: none;
padding: 0.75rem;
bottom: 0;
top: unset;
left: unset;
right: unset;
}
.file-title {
font-size: 10pt;
white-space: nowrap;
text-overflow: ellipsis;
overflow: hidden;
}
.badge {
}
.fit {
width: 100%;
height: 100%;
margin-top: 3px;
padding: 3px;
}
.icon-thumbnail {
width: 32px;
height: 32px;
margin-top: auto;
margin-bottom: auto;
margin-right: 1rem;
}
@media (min-width: 1200px) {
.card-columns {
column-count: 4;
}
}
@media (min-width: 1500px) {
.container {
max-width: 1440px;
}
.card-columns {
column-count: 5;
}
}
.doc-list-title {
margin-right: 1em;
}
</style>
<div class="container">
<div class="card">
{# <div class="card-header">An excellent form</div>#}
<div class="card-body">
<form action=""></form>
<input id="searchBar" type="search" class="form-control" placeholder="Search">
</div>
</div>
<div id="searchResults">
</div>
<script>
var searchBar = document.getElementById("searchBar");
var scroll_id = null;
var coolingDown = false;
var docCount = 0;
function createDocItem(hit) {
var docItem = document.createElement("li");
docItem.setAttribute("class", "list-group-item list-group-item-action d-flex");
//Thumbnail
var thumbnail = null;
if (hit["_source"].hasOwnProperty("mime") && hit["_source"]["mime"] != null) {
var mimeCategory = hit["_source"]["mime"].split("/")[0];
switch (mimeCategory) {
case "video":
case "image":
thumbnail = document.createElement("img");
thumbnail.setAttribute("class", "icon-thumbnail");
thumbnail.setAttribute("src", "/thumb/" + hit["_id"]);
thumbnail.setAttribute("data-content", '<img src="/thumb/'+ hit["_id"] + ' ">');
thumbnail.setAttribute("data-toggle", "popover");
docItem.appendChild(thumbnail);
break;
}
}
//Text
var docText = document.createElement("p");
docText.setAttribute("class", "doc-list-title");
docText.appendChild(document.createTextNode(hit["_source"]["name"]));
docItem.appendChild(docText);
//Tag list
var tagContainer = document.createElement("div");
var tags = [];
switch (mimeCategory) {
case "video":
var formatTag = document.createElement("span");
formatTag.setAttribute("class", "badge badge-pill badge-video");
formatTag.appendChild(document.createTextNode(hit["_source"]["format_long_name"].replace(" ", "")));
tags.push(formatTag);
break;
case "image":
formatTag = document.createElement("span");
formatTag.setAttribute("class", "badge badge-pill badge-image");
formatTag.appendChild(document.createTextNode(hit["_source"]["format"]));
tags.push(formatTag);
break;
}
for (var i = 0; i < tags.length; i++) {
tagContainer.appendChild(tags[i]);
}
docItem.appendChild(tagContainer);
//Download
var dlIcon = document.createElement("i");
dlIcon.setAttribute("class", "fas fa-download");
var dlButton = document.createElement("a");
dlButton.setAttribute("class", "ml-auto btn btn-primary");
dlButton.setAttribute("tabindex", "-1");
dlButton.appendChild(dlIcon);
dlButton.appendChild(document.createTextNode(" " + humanFileSize(hit["_source"]["size"])));
docItem.appendChild(dlButton);
//View
var eyeIcon = document.createElement("i");
eyeIcon.setAttribute("class", "fas fa-eye");
var viewButton = document.createElement("a");
viewButton.setAttribute("class", "btn btn-success");
viewButton.setAttribute("style", "margin-left: 1em");
viewButton.setAttribute("tabindex", "-1");
viewButton.appendChild(eyeIcon);
docItem.appendChild(viewButton);
return docItem;
}
function makeResultContainer() {
var resultContainer = document.createElement("ul");
resultContainer.setAttribute("class", "list-group list-group-flush");
return resultContainer;
}
/**
* https://stackoverflow.com/questions/10420352
*/
function humanFileSize(bytes) {
if(bytes === 0) {
return "? B"
}
var thresh = 1000;
if(Math.abs(bytes) < thresh) {
return bytes + ' B';
}
var units = ['kB','MB','GB','TB','PB','EB','ZB','YB'];
var u = -1;
do {
bytes /= thresh;
++u;
} while(Math.abs(bytes) >= thresh && u < units.length - 1);
return bytes.toFixed(1) + ' ' + units[u];
}
function makePageIndicator(searchResult) {
var pageIndicator = document.createElement("li");
pageIndicator.appendChild(document.createTextNode(docCount + " / " +searchResult["hits"]["total"]));
return pageIndicator;
}
function insertHits(resultContainer, hits) {
for (var i = 0 ; i < hits.length; i++) {
resultContainer.appendChild(createDocItem(hits[i]));
docCount++;
}
}
window.addEventListener("scroll", function () {
if (!coolingDown) {
var threshold = 200;
if ((window.innerHeight + window.scrollY) >= document.body.offsetHeight - threshold) {
//load next page
var xhttp = new XMLHttpRequest();
xhttp.onreadystatechange = function() {
if (this.readyState === 4 && this.status === 200) {
var searchResult = JSON.parse(this.responseText);
var searchResults = document.getElementById("searchResults");
var hits = searchResult["hits"]["hits"];
//Page indicator
var pageIndicator = makePageIndicator(searchResult);
searchResults.appendChild(pageIndicator);
//Result container
var resultContainer = makeResultContainer();
searchResults.appendChild(resultContainer);
insertHits(resultContainer, hits);
initPopover();
if(hits.length !== 0) {
coolingDown = false;
}
}
};
xhttp.open("GET", "/scroll?scroll_id=" + scroll_id, true);
xhttp.send();
coolingDown = true;
}
}
});
searchBar.addEventListener("keydown", function () {
//Clear old search results
var searchResults = document.getElementById("searchResults");
while (searchResults.firstChild) {
searchResults.removeChild(searchResults.firstChild);
}
var query = searchBar.value;
console.log("query: " + query);
var xhttp = new XMLHttpRequest();
xhttp.onreadystatechange = function() {
if (this.readyState === 4 && this.status === 200) {
var searchResult = JSON.parse(this.responseText);
scroll_id = searchResult["_scroll_id"];
//Search stats
{#searchResults.appendChild(makeStatsCard(searchResult));#}
//Setup page
var resultContainer = makeResultContainer();
searchResults.appendChild(resultContainer);
//Insert search results (hits)
insertHits(resultContainer, searchResult["hits"]["hits"]);
initPopover();
}
};
xhttp.open("GET", "/search", true);
xhttp.send();
});
function initPopover() {
$('[data-toggle="popover"]').popover({
trigger: "hover",
delay: { "show": 0, "hide": 400 },
placement: "right",
html: true
});
}
</script>
</div>
{% endblock body %}

56
tmp.py Normal file
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@ -0,0 +1,56 @@
from elasticsearch import Elasticsearch
from indexer import Indexer
import json
from crawler import Crawler
from indexer import Indexer
from parsing import GenericFileParser, Sha256CheckSumCalculator, ExtensionMimeGuesser
es = Elasticsearch()
1
# reset
es.indices.delete(index="test")
es.indices.create(index="test")
es.indices.close(index="test")
# # config
es.indices.put_settings(body='{"analysis": {"analyzer": {"path_analyser": {'
'"tokenizer": "path_tokenizer"}}, "tokenizer": {"path_tokenizer": {'
'"type": "path_hierarchy"}}}}', index="test")
es.indices.put_mapping(body='{"properties": {'
'"name": {"type": "text", "analyzer": "path_analyser", "copy_to": "suggest-path"},'
'"suggest-path": {"type": "completion", "analyzer": "keyword"},'
'"mime": {"type": "keyword"}'
'}}', index="test",doc_type="file" )
es.indices.open(index="test")
# add docs
# crawler = Crawler([GenericFileParser([Sha256CheckSumCalculator()], ExtensionMimeGuesser())])
# crawler.crawl("spec/test_folder")
#
# indexer = Indexer("test")
#
# indexer.index(crawler.documents)
# search
# print(es.search("test", "file", '{"query": {"term": {"name": "spec/test_folder/sub2/"}}}'))
# print(es.search("test", "file", '{"query": {"match_all": {}}, "aggs": {"test": {"terms": {"field": "mime"}}}}'))
# suggest = es.search("test", "file", '{"suggest": {"path-suggest": {"prefix": "spec/test_folder/sub", "completion": {"field": "suggest-path"}}}}')
#
# print(suggest["suggest"]["path-suggest"])
#
# for hit in suggest["suggest"]["path-suggest"][0]["options"]:
# print(hit["text"])
# indexer = Indexer("test")
# import time
# time.sleep(10)
c = Crawler([])
c.countFiles("/")