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14 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| 7879dd3aac | |||
| 3ff9520114 | |||
| cf5808cf71 | |||
| 052ce4cd9c | |||
| 1eecd892f7 | |||
| f9be1daccb | |||
| 6d0560c311 | |||
| dfdbff5100 | |||
| e93a4c16de | |||
| bd2c567151 | |||
| 4f989dcd94 | |||
| c3f09469b9 | |||
| 69512ba605 | |||
| bd4ab27c21 |
@@ -0,0 +1,19 @@
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# This workflow will improvise current file with AI genereated documentation and Create new PR
|
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|
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name: Snorkell.ai - Revolutionizing Documentation on GitHub
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on:
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push:
|
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branches: ["main"]
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workflow_dispatch:
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jobs:
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Documentation:
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runs-on: ubuntu-latest
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steps:
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- name: Snorkell DocGen Client
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uses: SingularityX-ai/snorkell-documentation-client@v1.0.0
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with:
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client_id: ${{ secrets.SNORKELL_CLIENT_ID }}
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api_key: ${{ secrets.SNORKELL_API_KEY }}
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branch_name: "main"
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@@ -1,178 +1,178 @@
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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from json import loads, dumps
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from collections import OrderedDict
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from datetime import datetime
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from traceback import print_exc
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# Taken from https://github.com/dgunter/ParseZeekLogs <3
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class ParseZeekLogs(object):
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"""
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Class that parses Zeek logs and allows log data to be output in CSV or json format.
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Attributes: filepath: Path of Zeek log file to read
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"""
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def __init__(self, filepath, batchsize=500, fields=None, output_format=None, ignore_keys=[], meta={}, safe_headers=False):
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self.fd = open(filepath, "r")
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self.options = OrderedDict()
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self.firstRun = True
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self.filtered_fields = fields
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self.batchsize = batchsize
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self.output_format = output_format
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self.ignore_keys = ignore_keys
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self.meta = meta
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self.safe_headers = safe_headers
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# Convert ' to " in meta string
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meta = loads(dumps(meta).replace("'", '"'))
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|
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# Read the header option lines
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l = self.fd.readline().strip()
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while l.strip().startswith("#"):
|
||||
# Parse the options out
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||||
if l.startswith("#separator"):
|
||||
key = str(l[1:].split(" ")[0])
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value = str.encode(l[1:].split(
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" ")[1].strip()).decode('unicode_escape')
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self.options[key] = value
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elif l.startswith("#"):
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key = str(l[1:].split(self.options.get('separator'))[0])
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value = l[1:].split(self.options.get('separator'))[1:]
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self.options[key] = value
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|
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# Read the next line
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l = self.fd.readline().strip()
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||||
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self.firstLine = l
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|
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# Save mapping of fields to values:
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self.fields = self.options.get('fields')
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self.types = self.options.get('types')
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self.data_types = {}
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for i, val in enumerate(self.fields):
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# Convert field names if safe_headers is enabled
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if self.safe_headers is True:
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self.fields[i] = self.fields[i].replace(".", "_")
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||||
|
||||
# Match types with each other
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self.data_types[self.fields[i]] = self.types[i]
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||||
|
||||
def __del__(self):
|
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self.fd.close()
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||||
|
||||
def __iter__(self):
|
||||
return self
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||||
|
||||
def __next__(self):
|
||||
retVal = ""
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||||
if self.firstRun is True:
|
||||
retVal = self.firstLine
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||||
self.firstRun = False
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||||
else:
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retVal = self.fd.readline().strip()
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|
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# If an empty string is returned, readline is done reading
|
||||
if retVal == "" or retVal is None:
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||||
raise StopIteration
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||||
|
||||
# Split out the data we are going to return
|
||||
retVal = retVal.split(self.options.get('separator'))
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||||
|
||||
record = None
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||||
# Make sure we aren't dealing with a comment line
|
||||
if len(retVal) > 0 and not str(retVal[0]).strip().startswith("#") \
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and len(retVal) is len(self.options.get("fields")):
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record = OrderedDict()
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||||
# Prepare fields for conversion
|
||||
for x in range(0, len(retVal)):
|
||||
if self.safe_headers is True:
|
||||
converted_field_name = self.options.get(
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||||
"fields")[x].replace(".", "_")
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||||
else:
|
||||
converted_field_name = self.options.get("fields")[x]
|
||||
if self.filtered_fields is None or converted_field_name in self.filtered_fields:
|
||||
# Translate - to "" to fix a conversation error
|
||||
if retVal[x] == "-":
|
||||
retVal[x] = ""
|
||||
# Save the record field if the field isn't filtered out
|
||||
record[converted_field_name] = retVal[x]
|
||||
|
||||
# Convert values to the appropriate record type
|
||||
record = self.convert_values(
|
||||
record, self.ignore_keys, self.data_types)
|
||||
|
||||
if record is not None and self.output_format == "json":
|
||||
# Output will be json
|
||||
|
||||
# Add metadata to json
|
||||
for k, v in self.meta.items():
|
||||
record[k] = v
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||||
|
||||
retVal = record
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||||
elif record is not None and self.output_format == "csv":
|
||||
retVal = ""
|
||||
# Add escaping to csv format
|
||||
for k, v in record.items():
|
||||
# Add escaping to string values
|
||||
if isinstance(v, str):
|
||||
retVal += str("\"" + str(v).strip() + "\"" + ",")
|
||||
else:
|
||||
retVal += str(str(v).strip() + ",")
|
||||
# Remove the trailing comma
|
||||
retVal = retVal[:-1]
|
||||
else:
|
||||
retVal = None
|
||||
|
||||
return retVal
|
||||
|
||||
def convert_values(self, data, ignore_keys=[], data_types={}):
|
||||
keys_to_delete = []
|
||||
for k, v in data.items():
|
||||
# print("evaluating k: " + str(k) + " v: " + str(v))
|
||||
|
||||
if isinstance(v, dict):
|
||||
data[k] = self.convert_values(v)
|
||||
else:
|
||||
if data_types.get(k) is not None:
|
||||
if (data_types.get(k) == "port" or data_types.get(k) == "count"):
|
||||
if v != "":
|
||||
data[k] = int(v)
|
||||
else:
|
||||
keys_to_delete.append(k)
|
||||
elif (data_types.get(k) == "double" or data_types.get(k) == "interval"):
|
||||
if v != "":
|
||||
data[k] = float(v)
|
||||
else:
|
||||
keys_to_delete.append(k)
|
||||
elif data_types.get(k) == "bool":
|
||||
data[k] = bool(v)
|
||||
else:
|
||||
data[k] = v
|
||||
|
||||
for k in keys_to_delete:
|
||||
del data[k]
|
||||
|
||||
return data
|
||||
|
||||
def get_fields(self):
|
||||
"""Returns all fields present in the log file
|
||||
Returns:
|
||||
A python list containing all field names in the log file
|
||||
"""
|
||||
field_names = ""
|
||||
if self.output_format == "csv":
|
||||
for i, v in enumerate(self.fields):
|
||||
if self.filtered_fields is None or v in self.filtered_fields:
|
||||
field_names += str(v) + ","
|
||||
# Remove the trailing comma
|
||||
field_names = field_names[:-1].strip()
|
||||
else:
|
||||
field_names = []
|
||||
for i, v in enumerate(self.fields):
|
||||
if self.filtered_fields is None or v in self.filtered_fields:
|
||||
field_names.append(v)
|
||||
return field_names
|
||||
#!/usr/bin/env python3
|
||||
# -*- coding: utf-8 -*-
|
||||
|
||||
from json import loads, dumps
|
||||
from collections import OrderedDict
|
||||
from datetime import datetime
|
||||
from traceback import print_exc
|
||||
|
||||
# Taken from https://github.com/dgunter/ParseZeekLogs <3
|
||||
|
||||
|
||||
class ParseZeekLogs(object):
|
||||
"""
|
||||
Class that parses Zeek logs and allows log data to be output in CSV or json format.
|
||||
Attributes: filepath: Path of Zeek log file to read
|
||||
"""
|
||||
|
||||
def __init__(self, filepath, batchsize=500, fields=None, output_format=None, ignore_keys=[], meta={}, safe_headers=False):
|
||||
self.fd = open(filepath, "r")
|
||||
self.options = OrderedDict()
|
||||
self.firstRun = True
|
||||
self.filtered_fields = fields
|
||||
self.batchsize = batchsize
|
||||
self.output_format = output_format
|
||||
self.ignore_keys = ignore_keys
|
||||
self.meta = meta
|
||||
self.safe_headers = safe_headers
|
||||
|
||||
# Convert ' to " in meta string
|
||||
meta = loads(dumps(meta).replace("'", '"'))
|
||||
|
||||
# Read the header option lines
|
||||
l = self.fd.readline(5_000_000).strip()
|
||||
while l.strip().startswith("#"):
|
||||
# Parse the options out
|
||||
if l.startswith("#separator"):
|
||||
key = str(l[1:].split(" ")[0])
|
||||
value = str.encode(l[1:].split(
|
||||
" ")[1].strip()).decode('unicode_escape')
|
||||
self.options[key] = value
|
||||
elif l.startswith("#"):
|
||||
key = str(l[1:].split(self.options.get('separator'))[0])
|
||||
value = l[1:].split(self.options.get('separator'))[1:]
|
||||
self.options[key] = value
|
||||
|
||||
# Read the next line
|
||||
l = self.fd.readline(5_000_000).strip()
|
||||
|
||||
self.firstLine = l
|
||||
|
||||
# Save mapping of fields to values:
|
||||
self.fields = self.options.get('fields')
|
||||
self.types = self.options.get('types')
|
||||
|
||||
self.data_types = {}
|
||||
for i, val in enumerate(self.fields):
|
||||
# Convert field names if safe_headers is enabled
|
||||
if self.safe_headers is True:
|
||||
self.fields[i] = self.fields[i].replace(".", "_")
|
||||
|
||||
# Match types with each other
|
||||
self.data_types[self.fields[i]] = self.types[i]
|
||||
|
||||
def __del__(self):
|
||||
self.fd.close()
|
||||
|
||||
def __iter__(self):
|
||||
return self
|
||||
|
||||
def __next__(self):
|
||||
retVal = ""
|
||||
if self.firstRun is True:
|
||||
retVal = self.firstLine
|
||||
self.firstRun = False
|
||||
else:
|
||||
retVal = self.fd.readline().strip()
|
||||
|
||||
# If an empty string is returned, readline is done reading
|
||||
if retVal == "" or retVal is None:
|
||||
raise StopIteration
|
||||
|
||||
# Split out the data we are going to return
|
||||
retVal = retVal.split(self.options.get('separator'))
|
||||
|
||||
record = None
|
||||
# Make sure we aren't dealing with a comment line
|
||||
if len(retVal) > 0 and not str(retVal[0]).strip().startswith("#") \
|
||||
and len(retVal) is len(self.options.get("fields")):
|
||||
record = OrderedDict()
|
||||
# Prepare fields for conversion
|
||||
for x in range(0, len(retVal)):
|
||||
if self.safe_headers is True:
|
||||
converted_field_name = self.options.get(
|
||||
"fields")[x].replace(".", "_")
|
||||
else:
|
||||
converted_field_name = self.options.get("fields")[x]
|
||||
if self.filtered_fields is None or converted_field_name in self.filtered_fields:
|
||||
# Translate - to "" to fix a conversation error
|
||||
if retVal[x] == "-":
|
||||
retVal[x] = ""
|
||||
# Save the record field if the field isn't filtered out
|
||||
record[converted_field_name] = retVal[x]
|
||||
|
||||
# Convert values to the appropriate record type
|
||||
record = self.convert_values(
|
||||
record, self.ignore_keys, self.data_types)
|
||||
|
||||
if record is not None and self.output_format == "json":
|
||||
# Output will be json
|
||||
|
||||
# Add metadata to json
|
||||
for k, v in self.meta.items():
|
||||
record[k] = v
|
||||
|
||||
retVal = record
|
||||
elif record is not None and self.output_format == "csv":
|
||||
retVal = ""
|
||||
# Add escaping to csv format
|
||||
for k, v in record.items():
|
||||
# Add escaping to string values
|
||||
if isinstance(v, str):
|
||||
retVal += str("\"" + str(v).strip() + "\"" + ",")
|
||||
else:
|
||||
retVal += str(str(v).strip() + ",")
|
||||
# Remove the trailing comma
|
||||
retVal = retVal[:-1]
|
||||
else:
|
||||
retVal = None
|
||||
|
||||
return retVal
|
||||
|
||||
def convert_values(self, data, ignore_keys=[], data_types={}):
|
||||
keys_to_delete = []
|
||||
for k, v in data.items():
|
||||
# print("evaluating k: " + str(k) + " v: " + str(v))
|
||||
|
||||
if isinstance(v, dict):
|
||||
data[k] = self.convert_values(v)
|
||||
else:
|
||||
if data_types.get(k) is not None:
|
||||
if (data_types.get(k) == "port" or data_types.get(k) == "count"):
|
||||
if v != "":
|
||||
data[k] = int(v)
|
||||
else:
|
||||
keys_to_delete.append(k)
|
||||
elif (data_types.get(k) == "double" or data_types.get(k) == "interval"):
|
||||
if v != "":
|
||||
data[k] = float(v)
|
||||
else:
|
||||
keys_to_delete.append(k)
|
||||
elif data_types.get(k) == "bool":
|
||||
data[k] = bool(v)
|
||||
else:
|
||||
data[k] = v
|
||||
|
||||
for k in keys_to_delete:
|
||||
del data[k]
|
||||
|
||||
return data
|
||||
|
||||
def get_fields(self):
|
||||
"""Returns all fields present in the log file
|
||||
Returns:
|
||||
A python list containing all field names in the log file
|
||||
"""
|
||||
field_names = ""
|
||||
if self.output_format == "csv":
|
||||
for i, v in enumerate(self.fields):
|
||||
if self.filtered_fields is None or v in self.filtered_fields:
|
||||
field_names += str(v) + ","
|
||||
# Remove the trailing comma
|
||||
field_names = field_names[:-1].strip()
|
||||
else:
|
||||
field_names = []
|
||||
for i, v in enumerate(self.fields):
|
||||
if self.filtered_fields is None or v in self.filtered_fields:
|
||||
field_names.append(v)
|
||||
return field_names
|
||||
|
||||
|
Before Width: | Height: | Size: 805 KiB After Width: | Height: | Size: 674 KiB |
|
Before Width: | Height: | Size: 784 KiB After Width: | Height: | Size: 660 KiB |
|
Before Width: | Height: | Size: 4.2 KiB After Width: | Height: | Size: 3.5 KiB |
|
Before Width: | Height: | Size: 315 KiB After Width: | Height: | Size: 185 KiB |
|
Before Width: | Height: | Size: 133 KiB After Width: | Height: | Size: 92 KiB |
|
Before Width: | Height: | Size: 805 KiB After Width: | Height: | Size: 674 KiB |
|
Before Width: | Height: | Size: 784 KiB After Width: | Height: | Size: 660 KiB |
|
Before Width: | Height: | Size: 28 KiB After Width: | Height: | Size: 14 KiB |
@@ -1,4 +1 @@
|
||||
<svg width="112" height="195" viewBox="0 0 112 195" fill="none" xmlns="http://www.w3.org/2000/svg">
|
||||
<line x1="3.5" y1="3.5" x2="3.50001" y2="191.5" stroke="black" stroke-width="7" stroke-linecap="round" stroke-linejoin="round"/>
|
||||
<rect x="7" width="105" height="195" fill="#F7F8F9"/>
|
||||
</svg>
|
||||
<svg xmlns="http://www.w3.org/2000/svg" width="112" height="195" fill="none" viewBox="0 0 112 195"><line x1="3.5" x2="3.5" y1="3.5" y2="191.5" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="7"/><rect width="105" height="195" x="7" fill="#F7F8F9"/></svg>
|
||||
|
Before Width: | Height: | Size: 294 B After Width: | Height: | Size: 281 B |
@@ -1,16 +1 @@
|
||||
<svg version="1.1" id="loader-1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
|
||||
width="40px" height="40px" viewBox="0 0 40 40" enable-background="new 0 0 40 40" xml:space="preserve">
|
||||
<path opacity="0.2" fill="#000" d="M20.201,5.169c-8.254,0-14.946,6.692-14.946,14.946c0,8.255,6.692,14.946,14.946,14.946
|
||||
s14.946-6.691,14.946-14.946C35.146,11.861,28.455,5.169,20.201,5.169z M20.201,31.749c-6.425,0-11.634-5.208-11.634-11.634
|
||||
c0-6.425,5.209-11.634,11.634-11.634c6.425,0,11.633,5.209,11.633,11.634C31.834,26.541,26.626,31.749,20.201,31.749z"/>
|
||||
<path fill="#f7f8f9" d="M26.013,10.047l1.654-2.866c-2.198-1.272-4.743-2.012-7.466-2.012h0v3.312h0
|
||||
C22.32,8.481,24.301,9.057,26.013,10.047z">
|
||||
<animateTransform attributeType="xml"
|
||||
attributeName="transform"
|
||||
type="rotate"
|
||||
from="0 20 20"
|
||||
to="360 20 20"
|
||||
dur="0.5s"
|
||||
repeatCount="indefinite"/>
|
||||
</path>
|
||||
</svg>
|
||||
<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" id="loader-1" width="40" height="40" x="0" y="0" enable-background="new 0 0 40 40" version="1.1" viewBox="0 0 40 40" xml:space="preserve"><path fill="#000" d="M20.201,5.169c-8.254,0-14.946,6.692-14.946,14.946c0,8.255,6.692,14.946,14.946,14.946 s14.946-6.691,14.946-14.946C35.146,11.861,28.455,5.169,20.201,5.169z M20.201,31.749c-6.425,0-11.634-5.208-11.634-11.634 c0-6.425,5.209-11.634,11.634-11.634c6.425,0,11.633,5.209,11.633,11.634C31.834,26.541,26.626,31.749,20.201,31.749z" opacity=".2"/><path fill="#f7f8f9" d="M26.013,10.047l1.654-2.866c-2.198-1.272-4.743-2.012-7.466-2.012h0v3.312h0 C22.32,8.481,24.301,9.057,26.013,10.047z"><animateTransform attributeName="transform" attributeType="xml" dur="0.5s" from="0 20 20" repeatCount="indefinite" to="360 20 20" type="rotate"/></path></svg>
|
||||
|
Before Width: | Height: | Size: 970 B After Width: | Height: | Size: 874 B |
@@ -1,5 +1 @@
|
||||
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<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" style="margin: auto; background: none; display: block; shape-rendering: auto;" width="200px" height="200px" viewBox="0 0 100 100" preserveAspectRatio="xMidYMid">
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</circle>
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<circle cx="50" cy="50" r="0" fill="none" stroke="#d8dddf" stroke-width="2">
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<animate attributeName="opacity" repeatCount="indefinite" dur="1.4925373134328357s" values="1;0" keyTimes="0;1" keySplines="0.2 0 0.8 1" calcMode="spline"></animate>
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<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" style="margin:auto;background:0 0;display:block;shape-rendering:auto" width="200" height="200" preserveAspectRatio="xMidYMid" viewBox="0 0 100 100"><circle cx="50" cy="50" r="0" fill="none" stroke="#f3f3f3" stroke-width="2"><animate attributeName="r" begin="-0.7462686567164178s" calcMode="spline" dur="1.4925373134328357s" keySplines="0 0.2 0.8 1" keyTimes="0;1" repeatCount="indefinite" values="0;30"/><animate attributeName="opacity" begin="-0.7462686567164178s" calcMode="spline" dur="1.4925373134328357s" keySplines="0.2 0 0.8 1" keyTimes="0;1" repeatCount="indefinite" values="1;0"/></circle><circle cx="50" cy="50" r="0" fill="none" stroke="#d8dddf" stroke-width="2"><animate attributeName="r" calcMode="spline" dur="1.4925373134328357s" keySplines="0 0.2 0.8 1" keyTimes="0;1" repeatCount="indefinite" values="0;30"/><animate attributeName="opacity" calcMode="spline" dur="1.4925373134328357s" keySplines="0.2 0 0.8 1" keyTimes="0;1" repeatCount="indefinite" values="1;0"/></circle></svg>
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@@ -2,9 +2,9 @@ pymisp==2.4.165.1
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||||
sqlalchemy==1.4.48
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ipwhois==1.2.0
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||||
netaddr==0.8.0
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flask==1.1.2
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flask==2.2.5
|
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flask_httpauth==4.8.0
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pyjwt==1.7.1
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pyjwt==2.4.0
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psutil==5.8.0
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pydig==0.4.0
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||||
pyudev==0.24.0
|
||||
|
||||