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spec_analysis.py
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spec_analysis.py
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import os
import logging
import os.path as path
import csv
import json
from enum import Enum
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
SPEC_REPO = 'c:/github/azure-rest-api-specs'
def data():
spec_file_infos = list()
spec_endpoint_infos = list()
spec_dir = path.join(SPEC_REPO, 'specification')
for service in os.listdir(spec_dir):
service_dir = path.join(spec_dir, service)
if path.isdir(service_dir):
for plane_name in os.listdir(service_dir):
try:
plane = Plane(plane_name)
except ValueError:
plane = None
if plane:
plane_dir = path.join(service_dir, plane_name)
for rp in os.listdir(plane_dir):
rp_dir = path.join(plane_dir, rp)
if path.isdir(rp_dir):
for state_name in os.listdir(rp_dir):
try:
state = State(state_name)
except ValueError:
state = None
if state:
state_dir = path.join(rp_dir, state_name)
for version in os.listdir(state_dir):
version_dir = path.join(state_dir, version)
if path.isdir(version_dir):
for json_filename in os.listdir(version_dir):
json_file = path.join(version_dir, json_filename)
if path.isfile(json_file) and json_filename.endswith('.json'):
spec_file_info = SpecFile()
spec_file_info.service = service
spec_file_info.plane = plane
spec_file_info.resource_provider = rp
spec_file_info.state = state
spec_file_info.version = version
spec_file_info.name = os.path.splitext(json_filename)[0]
with open(json_file, 'r', encoding='utf-8') as jsonfile:
try:
spec_json = json.loads(jsonfile.read())
spec_endpoint_infos.extend(get_spec_endpoint_infos(spec_file_info, spec_json))
if 'paths' in spec_json and 'definitions' in spec_json:
endpoint_size = len(spec_json['paths'])
property_size = 0
for definition in spec_json['definitions'].values():
if 'properties' in definition:
property_size += len(definition['properties'])
if endpoint_size > 0:
property_ratio = property_size / endpoint_size
spec_file_info.property_ratio = property_ratio
except UnicodeDecodeError:
logging.warning('failed to read file: {}'.format(json_file))
spec_file_infos.append(spec_file_info)
with open('spec_file_info.csv', 'w', newline='') as csvfile:
csvwriter = csv.writer(csvfile, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL)
for info in spec_file_infos:
csvwriter.writerow(info.csv_row())
with open('spec_endpoint_info.csv', 'w', newline='') as csvfile:
csvwriter = csv.writer(csvfile, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL)
for info in spec_endpoint_infos:
csvwriter.writerow(info.csv_row())
def analysis():
pd.set_option('display.max_colwidth', None)
df_endpoint = pd.read_csv('spec_endpoint_info.csv', sep=',', header=None)
df_endpoint.columns = ['service', 'plane', 'version', 'endpoint']
df_endpoint.drop_duplicates(['endpoint', 'service', 'plane'], keep='first', inplace=True)
df1 = df_endpoint.drop(['version', 'endpoint'], axis=1).drop_duplicates(['service', 'plane']).groupby('plane').count().reset_index()
print(str(df1))
df2 = df_endpoint.drop('version', axis=1).groupby(['plane', 'service']).count().sort_values('endpoint', ascending=False)
print(str(df2.head(50)))
df3 = df2.reset_index().head(10).sort_values('endpoint')
colors = tuple(np.where(df3['plane'] == 'data-plane', '#D81B60', '#1E88E5'))
df3.plot(kind='barh', x='service', y='endpoint', color=colors)
plt.show()
# df_file = pd.read_csv('spec_file_info.csv', sep=',', header=None)
# df_file.columns = ['service', 'plane', 'rp', 'state', 'version', 'file', 'ratio']
#
# df4 = df_file.drop(['rp', 'state', 'version', 'file'], axis=1).groupby(['service', 'plane']).mean().reset_index()
# print(str(df4.head(50)))
#
# df4 = df4.head(20).sort_values('ratio', ascending=True)
# colors = tuple(np.where(df4['plane'] == 'data-plane', '#D81B60', '#1E88E5'))
# df4.plot(kind='barh', x='service', y='ratio', color=colors)
# plt.show()
# df5 = df4.loc[df4['service'].isin(df3['service'].values)].reset_index()
# print(str(df5.head(50)))
# colors = tuple(np.where(df5['plane'] == 'data-plane', '#D81B60', '#1E88E5'))
# df5.plot(kind='barh', x='service', y='ratio', color=colors)
# plt.show()
class Plane(Enum):
DATA = 'data-plane'
RESOURCE = 'resource-manager'
class State(Enum):
STABLE = 'stable'
PREVIEW = 'preview'
class SpecEndpointInfo:
service: str
plane: Plane
version: str
endpoint: str
def csv_row(self):
return [self.service, self.plane.value, self.version, self.endpoint]
class SpecFile:
service: str
plane: Plane
resource_provider: str
state: State
version: str
name: str
property_ratio: float = 0
def csv_row(self):
return [self.service, self.plane.value, self.resource_provider, self.state.value, self.version, self.name.lower(), str(self.property_ratio)]
def get_spec_endpoint_infos(spec_file_info: SpecFile, spec_json):
spec_endpoint_infos = list()
version = spec_json['info']['version']
for endpoint in spec_json['paths'].keys():
spec_info = SpecEndpointInfo()
spec_info.service = spec_file_info.service
spec_info.plane = spec_file_info.plane
spec_info.version = version
spec_info.endpoint = endpoint
spec_endpoint_infos.append(spec_info)
return spec_endpoint_infos
if __name__ == '__main__':
# data()
analysis()