mirror of
https://github.com/DISARMFoundation/DISARMframeworks.git
synced 2025-03-06 13:56:00 -05:00
Merge pull request #23 from cvandeplas/main
Generates DISARM as MISP Galaxy + a few fixes
This commit is contained in:
Stephen H. Campbell
GitHub
commit
68e2674421
405
CODE/generate_DISARM_MISP_galaxy.py
Executable file
405
CODE/generate_DISARM_MISP_galaxy.py
Executable file
@ -0,0 +1,405 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Generate DISARM MISP galaxy
|
||||
see also https://github.com/MISP/misp-galaxy
|
||||
|
||||
Author: Christophe Vandeplas
|
||||
License: AGPL-3
|
||||
"""
|
||||
|
||||
from generate_DISARM_pages import Disarm
|
||||
import json
|
||||
import uuid
|
||||
import os
|
||||
|
||||
|
||||
DISARM_DESCRIPTION = 'DISARM is a framework designed for describing and understanding disinformation incidents.'
|
||||
DISARM_CATEGORY = 'disarm'
|
||||
DISARM_AUTHORS = ['DISARM Project']
|
||||
DISARM_SOURCE = 'https://github.com/DISARMFoundation/DISARMframeworks'
|
||||
CORE_UUID = "9d6bd9d2-2cd3-4900-b61a-06cd64df3996"
|
||||
|
||||
|
||||
class DisarmGalaxy:
|
||||
def __init__(self, out_path=os.path.join('..', '..', 'misp-galaxy')):
|
||||
self.disarm = Disarm()
|
||||
self.out_path = out_path
|
||||
|
||||
self.galaxy_types = ['techniques', 'countermeasures', 'detections', 'actortypes']
|
||||
|
||||
def generate_all_galaxies(self):
|
||||
for galaxy_type in self.galaxy_types:
|
||||
getattr(self, f'generate_{galaxy_type}_galaxy')() # also saves the files
|
||||
|
||||
def generate_all_clusters(self):
|
||||
for galaxy_type in self.galaxy_types:
|
||||
getattr(self, f'generate_{galaxy_type}_clusters')()
|
||||
|
||||
def write_json_file(self, fname, file_data):
|
||||
with open(fname, 'w') as f:
|
||||
json.dump(file_data, f, indent=2, sort_keys=True, ensure_ascii=False)
|
||||
f.write('\n')
|
||||
|
||||
def generate_techniques_galaxy(self):
|
||||
galaxy_type = 'techniques'
|
||||
galaxy = {'name': 'Techniques',
|
||||
'type': f'disarm-{galaxy_type}',
|
||||
'description': DISARM_DESCRIPTION,
|
||||
'uuid': str(uuid.uuid5(uuid.UUID(CORE_UUID), f'disarm-galaxy-{galaxy_type}')),
|
||||
'version': 1,
|
||||
'icon': 'map',
|
||||
'namespace': 'disarm',
|
||||
'kill_chain_order': {
|
||||
'tactics': []
|
||||
}}
|
||||
|
||||
for k, v in self.disarm.tactics.items():
|
||||
galaxy['kill_chain_order']['tactics'].append(f'{v}')
|
||||
|
||||
self.write_json_file(os.path.join(self.out_path, 'galaxies', f'disarm-{galaxy_type}.json'), galaxy)
|
||||
|
||||
def generate_techniques_clusters(self):
|
||||
galaxy_type = 'techniques'
|
||||
cluster = {'authors': DISARM_AUTHORS,
|
||||
'category': DISARM_CATEGORY,
|
||||
'description': DISARM_DESCRIPTION,
|
||||
'name': 'Techniques',
|
||||
'source': DISARM_SOURCE,
|
||||
'type': f'disarm-{galaxy_type}',
|
||||
'uuid': str(uuid.uuid5(uuid.UUID(CORE_UUID), f'disarm-cluster-{galaxy_type}')),
|
||||
'values': [],
|
||||
'version': 1}
|
||||
values = []
|
||||
seen_values = []
|
||||
df = self.disarm.df_techniques
|
||||
for i in range(len(df)):
|
||||
if df.values[i][1] in seen_values: # remove duplicates
|
||||
continue
|
||||
seen_values.append(df.values[i][1])
|
||||
|
||||
entry_id = df.values[i][0]
|
||||
kill_chain = [f'tactics:{self.disarm.tactics[df.values[i][3]]}']
|
||||
related = []
|
||||
# Countermeasures relations
|
||||
mapping = self.disarm.cross_counterid_techniqueid[
|
||||
self.disarm.cross_counterid_techniqueid['technique_id'] == entry_id]
|
||||
for index, row in mapping.sort_values('disarm_id').iterrows():
|
||||
related_id = row['disarm_id']
|
||||
related.append({
|
||||
"dest-uuid": str(uuid.uuid5(uuid.UUID(CORE_UUID), related_id)),
|
||||
"type": "blocked-by" # mitigated-by would be cleaner, but does not exist as relationship type
|
||||
})
|
||||
# Detections relations
|
||||
mapping = self.disarm.cross_detectionid_techniqueid[
|
||||
self.disarm.cross_detectionid_techniqueid['technique_id'] == entry_id]
|
||||
for index, row in mapping.sort_values('disarm_id').iterrows():
|
||||
related_id = row['disarm_id']
|
||||
related.append({
|
||||
"dest-uuid": str(uuid.uuid5(uuid.UUID(CORE_UUID), related_id)),
|
||||
"type": "detected-by"
|
||||
})
|
||||
|
||||
value = {
|
||||
'uuid': str(uuid.uuid5(uuid.UUID(CORE_UUID), entry_id)),
|
||||
'value': df.values[i][1],
|
||||
'description': df.values[i][4],
|
||||
'meta': {
|
||||
'external_id': entry_id,
|
||||
'kill_chain': kill_chain,
|
||||
'refs': [
|
||||
f'https://github.com/DISARMFoundation/DISARMframeworks/blob/main/generated_pages/{galaxy_type}/{entry_id}.md'
|
||||
]
|
||||
},
|
||||
'related': related
|
||||
}
|
||||
values.append(value)
|
||||
|
||||
cluster['values'] = sorted(values, key=lambda x: x['meta']['external_id'])
|
||||
self.write_json_file(os.path.join(self.out_path, 'clusters', f'disarm-{galaxy_type}.json'), cluster)
|
||||
|
||||
def generate_countermeasures_galaxy(self):
|
||||
galaxy_type = 'countermeasures'
|
||||
galaxy = {'name': 'Countermeasures',
|
||||
'type': f'disarm-{galaxy_type}',
|
||||
'description': DISARM_DESCRIPTION,
|
||||
'uuid': str(uuid.uuid5(uuid.UUID(CORE_UUID), f'disarm-galaxy-{galaxy_type}')),
|
||||
'version': 1,
|
||||
'icon': 'shield-alt',
|
||||
'namespace': 'disarm',
|
||||
'kill_chain_order': {
|
||||
'tactics': [],
|
||||
'responsetypes': [],
|
||||
'metatechniques': []
|
||||
}}
|
||||
|
||||
for k, v in self.disarm.tactics.items():
|
||||
galaxy['kill_chain_order']['tactics'].append(f'{v}')
|
||||
for k, v in self.disarm.responsetypes.items():
|
||||
galaxy['kill_chain_order']['responsetypes'].append(f'{v}')
|
||||
for k, v in self.disarm.metatechniques.items():
|
||||
galaxy['kill_chain_order']['metatechniques'].append(f'{v}')
|
||||
|
||||
self.write_json_file(os.path.join(self.out_path, 'galaxies', f'disarm-{galaxy_type}.json'), galaxy)
|
||||
|
||||
def generate_countermeasures_clusters(self):
|
||||
galaxy_type = 'countermeasures'
|
||||
cluster = {'authors': DISARM_AUTHORS,
|
||||
'category': DISARM_CATEGORY,
|
||||
'description': DISARM_DESCRIPTION,
|
||||
'name': 'Countermeasures',
|
||||
'source': DISARM_SOURCE,
|
||||
'type': f'disarm-{galaxy_type}',
|
||||
'uuid': str(uuid.uuid5(uuid.UUID(CORE_UUID), f'disarm-cluster-{galaxy_type}')),
|
||||
'values': [],
|
||||
'version': 1}
|
||||
values = []
|
||||
seen_values = []
|
||||
df = self.disarm.df_counters
|
||||
for i in range(len(df)):
|
||||
if df.values[i][1] in seen_values: # remove duplicates
|
||||
continue
|
||||
seen_values.append(df.values[i][1])
|
||||
|
||||
entry_id = df.values[i][0]
|
||||
kill_chain = []
|
||||
if self.disarm.tactics[df.values[i][15]]:
|
||||
kill_chain.append(f'tactics:{self.disarm.tactics[df.values[i][15]]}')
|
||||
if self.disarm.responsetypes[df.values[i][10]]:
|
||||
kill_chain.append(f'responsetypes:{self.disarm.responsetypes[df.values[i][10]]}')
|
||||
if self.disarm.metatechniques[df.values[i][17]]:
|
||||
kill_chain.append(f'metatechniques:{self.disarm.metatechniques[df.values[i][17]]}')
|
||||
|
||||
related = []
|
||||
# Techniques relations
|
||||
mapping = self.disarm.cross_counterid_techniqueid[
|
||||
self.disarm.cross_counterid_techniqueid['disarm_id'] == entry_id]
|
||||
for index, row in mapping.sort_values('technique_id').iterrows():
|
||||
related_id = row['technique_id']
|
||||
related.append({
|
||||
"dest-uuid": str(uuid.uuid5(uuid.UUID(CORE_UUID), related_id)),
|
||||
"type": "blocks" # mitigated would be cleaner, but mitigated-by does not exist as relationship type
|
||||
})
|
||||
# Actortype relations
|
||||
mapping = self.disarm.cross_counterid_actortypeid[
|
||||
self.disarm.cross_counterid_actortypeid['disarm_id'] == entry_id]
|
||||
for index, row in mapping.sort_values('actortype_id').iterrows():
|
||||
related_id = row['actortype_id']
|
||||
related.append({
|
||||
"dest-uuid": str(uuid.uuid5(uuid.UUID(CORE_UUID), related_id)),
|
||||
"type": "affected-by"
|
||||
# mitigated-by would be cleaner, but mitigated-by does not exist as relationship type
|
||||
})
|
||||
|
||||
value = {
|
||||
'uuid': str(uuid.uuid5(uuid.UUID(CORE_UUID), entry_id)),
|
||||
'value': df.values[i][1],
|
||||
'description': df.values[i][3],
|
||||
'meta': {
|
||||
'external_id': entry_id,
|
||||
'kill_chain': kill_chain,
|
||||
'refs': [
|
||||
f'https://github.com/DISARMFoundation/DISARMframeworks/blob/main/generated_pages/counters/{entry_id}.md'
|
||||
]
|
||||
},
|
||||
'related': related
|
||||
}
|
||||
values.append(value)
|
||||
|
||||
cluster['values'] = sorted(values, key=lambda x: x['meta']['external_id'])
|
||||
self.write_json_file(os.path.join(self.out_path, 'clusters', f'disarm-{galaxy_type}.json'), cluster)
|
||||
|
||||
def generate_detections_galaxy(self):
|
||||
galaxy_type = 'detections'
|
||||
galaxy = {'name': 'Detections',
|
||||
'type': f'disarm-{galaxy_type}',
|
||||
'description': DISARM_DESCRIPTION,
|
||||
'uuid': str(uuid.uuid5(uuid.UUID(CORE_UUID), f'disarm-galaxy-{galaxy_type}')),
|
||||
'version': 1,
|
||||
'icon': 'bell',
|
||||
'namespace': 'disarm',
|
||||
'kill_chain_order': {
|
||||
'tactics': [],
|
||||
'responsetypes': [],
|
||||
# 'metatechniques': []
|
||||
}}
|
||||
|
||||
for k, v in self.disarm.tactics.items():
|
||||
galaxy['kill_chain_order']['tactics'].append(f'{v}')
|
||||
for k, v in self.disarm.responsetypes.items():
|
||||
galaxy['kill_chain_order']['responsetypes'].append(f'{v}')
|
||||
# for k, v in self.disarm.metatechniques.items():
|
||||
# galaxy['kill_chain_order']['metatechniques'].append(f'{v}')
|
||||
|
||||
self.write_json_file(os.path.join(self.out_path, 'galaxies', f'disarm-{galaxy_type}.json'), galaxy)
|
||||
|
||||
def generate_detections_clusters(self):
|
||||
galaxy_type = 'detections'
|
||||
cluster = {'authors': DISARM_AUTHORS,
|
||||
'category': DISARM_CATEGORY,
|
||||
'description': DISARM_DESCRIPTION,
|
||||
'name': 'Detections',
|
||||
'source': DISARM_SOURCE,
|
||||
'type': f'disarm-{galaxy_type}',
|
||||
'uuid': str(uuid.uuid5(uuid.UUID(CORE_UUID), f'disarm-cluster-{galaxy_type}')),
|
||||
'values': [],
|
||||
'version': 1}
|
||||
values = []
|
||||
seen_values = []
|
||||
df = self.disarm.df_detections
|
||||
for i in range(len(df)):
|
||||
if df.values[i][1] in seen_values: # remove duplicates
|
||||
continue
|
||||
seen_values.append(df.values[i][1])
|
||||
|
||||
entry_id = df.values[i][0]
|
||||
kill_chain = []
|
||||
try:
|
||||
if self.disarm.tactics[df.values[i][14]]:
|
||||
kill_chain.append(f'tactics:{self.disarm.tactics[df.values[i][14]]}')
|
||||
except KeyError:
|
||||
pass
|
||||
try:
|
||||
if self.disarm.responsetypes[df.values[i][10]]:
|
||||
kill_chain.append(f'responsetypes:{self.disarm.responsetypes[df.values[i][10]]}')
|
||||
except KeyError:
|
||||
pass
|
||||
# Metatechnique ID is not in the array
|
||||
# if self.disarm.metatechniques[df.values[i][???]]:
|
||||
# kill_chain.append(f'metatechniques:{self.disarm.metatechniques[df.values[i][???]]}')
|
||||
|
||||
related = []
|
||||
# Techniques relations
|
||||
mapping = self.disarm.cross_detectionid_techniqueid[
|
||||
self.disarm.cross_detectionid_techniqueid['disarm_id'] == entry_id]
|
||||
for index, row in mapping.sort_values('technique_id').iterrows():
|
||||
related_id = row['technique_id']
|
||||
related.append({
|
||||
"dest-uuid": str(uuid.uuid5(uuid.UUID(CORE_UUID), related_id)),
|
||||
"type": "detects"
|
||||
})
|
||||
# Actortypes relations
|
||||
mapping = self.disarm.cross_detectionid_actortypeid[
|
||||
self.disarm.cross_detectionid_actortypeid['disarm_id'] == entry_id]
|
||||
for index, row in mapping.sort_values('actortype_id').iterrows():
|
||||
related_id = row['actortype_id']
|
||||
related.append({
|
||||
"dest-uuid": str(uuid.uuid5(uuid.UUID(CORE_UUID), related_id)),
|
||||
"type": "detected-by"
|
||||
# mitigated-by would be cleaner, but mitigated-by does not exist as relationship type
|
||||
})
|
||||
|
||||
value = {
|
||||
'uuid': str(uuid.uuid5(uuid.UUID(CORE_UUID), entry_id)),
|
||||
'value': df.values[i][1],
|
||||
'description': df.values[i][3],
|
||||
'meta': {
|
||||
'external_id': entry_id,
|
||||
'kill_chain': kill_chain,
|
||||
'refs': [
|
||||
f'https://github.com/DISARMFoundation/DISARMframeworks/blob/main/generated_pages/{galaxy_type}/{entry_id}.md'
|
||||
]
|
||||
},
|
||||
'related': related
|
||||
}
|
||||
values.append(value)
|
||||
|
||||
cluster['values'] = sorted(values, key=lambda x: x['meta']['external_id'])
|
||||
self.write_json_file(os.path.join(self.out_path, 'clusters', f'disarm-{galaxy_type}.json'), cluster)
|
||||
|
||||
def generate_actortypes_galaxy(self):
|
||||
galaxy_type = 'actortypes'
|
||||
galaxy = {'name': 'Actor Types',
|
||||
'type': f'disarm-{galaxy_type}',
|
||||
'description': DISARM_DESCRIPTION,
|
||||
'uuid': str(uuid.uuid5(uuid.UUID(CORE_UUID), f'disarm-galaxy-{galaxy_type}')),
|
||||
'version': 1,
|
||||
'icon': 'user-secret',
|
||||
'namespace': 'disarm',
|
||||
'kill_chain_order': {
|
||||
'sectors': []
|
||||
}}
|
||||
|
||||
for k, v in self.disarm.sectors.items():
|
||||
galaxy['kill_chain_order']['sectors'].append(f'{v}')
|
||||
|
||||
self.write_json_file(os.path.join(self.out_path, 'galaxies', f'disarm-{galaxy_type}.json'), galaxy)
|
||||
|
||||
def generate_actortypes_clusters(self):
|
||||
galaxy_type = 'actortypes'
|
||||
cluster = {'authors': DISARM_AUTHORS,
|
||||
'category': DISARM_CATEGORY,
|
||||
'description': DISARM_DESCRIPTION,
|
||||
'name': 'Actor Types',
|
||||
'source': DISARM_SOURCE,
|
||||
'type': f'disarm-{galaxy_type}',
|
||||
'uuid': str(uuid.uuid5(uuid.UUID(CORE_UUID), f'disarm-cluster-{galaxy_type}')),
|
||||
'values': [],
|
||||
'version': 1}
|
||||
values = []
|
||||
seen_values = []
|
||||
df = self.disarm.df_actortypes
|
||||
for i in range(len(df)):
|
||||
if df.values[i][1] in seen_values: # remove duplicates
|
||||
continue
|
||||
seen_values.append(df.values[i][1])
|
||||
|
||||
entry_id = df.values[i][0]
|
||||
kill_chain = []
|
||||
try:
|
||||
sectors = df.values[i][3].split(',')
|
||||
for sector in sectors:
|
||||
sector = sector.strip()
|
||||
if self.disarm.sectors[sector]:
|
||||
kill_chain.append(f'sectors:{self.disarm.sectors[sector]}')
|
||||
except KeyError:
|
||||
pass
|
||||
|
||||
related = []
|
||||
# Countermeasures relations
|
||||
mapping = self.disarm.cross_counterid_actortypeid[
|
||||
self.disarm.cross_counterid_actortypeid['actortype_id'] == entry_id]
|
||||
for index, row in mapping.sort_values('disarm_id').iterrows():
|
||||
related_id = row['disarm_id']
|
||||
related.append({
|
||||
"dest-uuid": str(uuid.uuid5(uuid.UUID(CORE_UUID), related_id)),
|
||||
"type": "affects"
|
||||
})
|
||||
# Detections relations
|
||||
mapping = self.disarm.cross_detectionid_actortypeid[
|
||||
self.disarm.cross_detectionid_actortypeid['actortype_id'] == entry_id]
|
||||
for index, row in mapping.sort_values('disarm_id').iterrows():
|
||||
related_id = row['disarm_id']
|
||||
related.append({
|
||||
"dest-uuid": str(uuid.uuid5(uuid.UUID(CORE_UUID), related_id)),
|
||||
"type": "detects"
|
||||
})
|
||||
|
||||
value = {
|
||||
'uuid': str(uuid.uuid5(uuid.UUID(CORE_UUID), entry_id)),
|
||||
'value': df.values[i][1],
|
||||
'description': df.values[i][2],
|
||||
'meta': {
|
||||
'external_id': entry_id,
|
||||
'kill_chain': kill_chain,
|
||||
'refs': [
|
||||
f'https://github.com/DISARMFoundation/DISARMframeworks/blob/main/generated_pages/{galaxy_type}/{entry_id}.md'
|
||||
]
|
||||
},
|
||||
'related': related
|
||||
}
|
||||
|
||||
values.append(value)
|
||||
cluster['values'] = sorted(values, key=lambda x: x['meta']['external_id'])
|
||||
self.write_json_file(os.path.join(self.out_path, 'clusters', f'disarm-{galaxy_type}.json'), cluster)
|
||||
|
||||
|
||||
def main():
|
||||
disarm_galaxy = DisarmGalaxy()
|
||||
disarm_galaxy.generate_all_galaxies()
|
||||
disarm_galaxy.generate_all_clusters()
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
print("All done, please look at the delta, and update the version number if needed.")
|
||||
print("After that do ./jq_all_the_things.sh, commit, and then ./validate_all.sh.")
|
||||
@ -94,12 +94,12 @@ class Disarm:
|
||||
xlsx = pd.ExcelFile(frameworkfile)
|
||||
for sheetname in xlsx.sheet_names:
|
||||
metadata[sheetname] = xlsx.parse(sheetname)
|
||||
metadata[sheetname].fillna('', inplace=True)
|
||||
metadata[sheetname].replace(np.NaN, '', inplace=True)
|
||||
|
||||
xlsx = pd.ExcelFile(datafile)
|
||||
for sheetname in xlsx.sheet_names:
|
||||
metadata[sheetname] = xlsx.parse(sheetname)
|
||||
metadata[sheetname].fillna('', inplace=True)
|
||||
metadata[sheetname].replace(np.NaN, '', inplace=True)
|
||||
|
||||
# Create individual tables and dictionaries
|
||||
self.df_phases = metadata['phases']
|
||||
@ -111,11 +111,11 @@ class Disarm:
|
||||
self.df_tools = metadata['tools']
|
||||
self.df_examples = metadata['examples']
|
||||
self.df_counters = metadata['countermeasures'].sort_values('disarm_id')
|
||||
self.df_counters[['tactic_id', 'tactic_name']] = self.df_counters['tactic'].str.split(' ', 1, expand=True)
|
||||
self.df_counters[['metatechnique_id', 'metatechnique_name']] = self.df_counters['metatechnique'].str.split(' ', 1, expand=True)
|
||||
self.df_counters[['tactic_id', 'tactic_name']] = self.df_counters['tactic'].str.split(' ', n=1, expand=True)
|
||||
self.df_counters[['metatechnique_id', 'metatechnique_name']] = self.df_counters['metatechnique'].str.split(' ', n=1, expand=True)
|
||||
self.df_detections = metadata['detections']
|
||||
self.df_detections[['tactic_id', 'tactic_name']] = self.df_detections['tactic'].str.split(' ', 1, expand=True)
|
||||
# self.df_detections[['metatechnique_id', 'metatechnique_name']] = self.df_detections['metatechnique'].str.split(' ', 1, expand=True) #FIXIT
|
||||
self.df_detections[['tactic_id', 'tactic_name']] = self.df_detections['tactic'].str.split(' ', n=1, expand=True)
|
||||
# self.df_detections[['metatechnique_id', 'metatechnique_name']] = self.df_detections['metatechnique'].str.split(' ', n=1, expand=True) #FIXIT
|
||||
self.df_actortypes = metadata['actortypes']
|
||||
self.df_resources = metadata['resources']
|
||||
self.df_responsetypes = metadata['responsetypes']
|
||||
@ -123,6 +123,7 @@ class Disarm:
|
||||
self.it = self.create_incident_technique_crosstable(metadata['incidenttechniques'])
|
||||
self.df_tactics = metadata['tactics']
|
||||
self.df_playbooks = metadata['playbooks']
|
||||
self.df_sectors = metadata['sectors']
|
||||
|
||||
# Add columns containing lists of techniques and counters to the tactics dataframe
|
||||
self.df_techniques_per_tactic = self.df_techniques.groupby('tactic_id')['disarm_id'].apply(list).reset_index().rename({'disarm_id':'technique_ids'}, axis=1)
|
||||
@ -136,8 +137,10 @@ class Disarm:
|
||||
self.techniques = self.make_object_dictionary(self.df_techniques)
|
||||
self.counters = self.make_object_dictionary(self.df_counters)
|
||||
self.metatechniques = self.make_object_dictionary(self.df_metatechniques)
|
||||
self.responsetypes = self.make_object_dictionary(self.df_responsetypes)
|
||||
self.actortypes = self.make_object_dictionary(self.df_actortypes)
|
||||
self.resources = self.make_object_dictionary(self.df_resources)
|
||||
self.sectors = self.make_object_dictionary(self.df_sectors)
|
||||
|
||||
# Create the data table for each framework file
|
||||
self.num_tactics = len(self.df_tactics)
|
||||
@ -301,7 +304,7 @@ class Disarm:
|
||||
resource_counters = self.cross_counterid_resourceid[self.cross_counterid_resourceid['resource_id']==resource_id]
|
||||
resource_counters = pd.merge(resource_counters, self.df_counters[['disarm_id', 'name', 'responsetype']])
|
||||
row_string = '| [{0} {1}]({2}counters/{0}.md) | {3} |\n'
|
||||
for index, row in actortype_counters.sort_values('disarm_id').iterrows():
|
||||
for index, row in resource_counters.sort_values('disarm_id').iterrows():
|
||||
table_string += row_string.format(row['disarm_id'], row['name'], GENERATED_PAGES_FUDGE, row['responsetype'])
|
||||
return table_string
|
||||
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user