-
Notifications
You must be signed in to change notification settings - Fork 676
/
analysis.go
302 lines (270 loc) · 8.42 KB
/
analysis.go
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
/*
Copyright 2023 The K8sGPT Authors.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/
package analysis
import (
"context"
"errors"
"fmt"
"os"
"reflect"
"strings"
"sync"
"github.com/fatih/color"
openapi_v2 "github.com/google/gnostic/openapiv2"
"github.com/k8sgpt-ai/k8sgpt/pkg/ai"
"github.com/k8sgpt-ai/k8sgpt/pkg/analyzer"
"github.com/k8sgpt-ai/k8sgpt/pkg/cache"
"github.com/k8sgpt-ai/k8sgpt/pkg/common"
"github.com/k8sgpt-ai/k8sgpt/pkg/kubernetes"
"github.com/k8sgpt-ai/k8sgpt/pkg/util"
"github.com/schollz/progressbar/v3"
"github.com/spf13/viper"
)
type Analysis struct {
Context context.Context
Filters []string
Client *kubernetes.Client
AIClient ai.IAI
Results []common.Result
Errors []string
Namespace string
Cache cache.ICache
Explain bool
MaxConcurrency int
AnalysisAIProvider string // The name of the AI Provider used for this analysis
WithDoc bool
}
type AnalysisStatus string
type AnalysisErrors []string
const (
StateOK AnalysisStatus = "OK"
StateProblemDetected AnalysisStatus = "ProblemDetected"
)
type JsonOutput struct {
Provider string `json:"provider"`
Errors AnalysisErrors `json:"errors"`
Status AnalysisStatus `json:"status"`
Problems int `json:"problems"`
Results []common.Result `json:"results"`
}
func NewAnalysis(backend string, language string, filters []string, namespace string, noCache bool, explain bool, maxConcurrency int, withDoc bool) (*Analysis, error) {
var configAI ai.AIConfiguration
err := viper.UnmarshalKey("ai", &configAI)
if err != nil {
color.Red("Error: %v", err)
os.Exit(1)
}
if len(configAI.Providers) == 0 && explain {
color.Red("Error: AI provider not specified in configuration. Please run k8sgpt auth")
os.Exit(1)
}
// Backend string will have high priority than a default provider
// Backend as "openai" represents the default CLI argument passed through
if configAI.DefaultProvider != "" && backend == "openai" {
backend = configAI.DefaultProvider
}
var aiProvider ai.AIProvider
for _, provider := range configAI.Providers {
if backend == provider.Name {
aiProvider = provider
break
}
}
if aiProvider.Name == "" {
color.Red("Error: AI provider %s not specified in configuration. Please run k8sgpt auth", backend)
return nil, errors.New("AI provider not specified in configuration")
}
aiClient := ai.NewClient(aiProvider.Name)
if err := aiClient.Configure(&aiProvider, language); err != nil {
color.Red("Error: %v", err)
return nil, err
}
ctx := context.Background()
// Get kubernetes client from viper
kubecontext := viper.GetString("kubecontext")
kubeconfig := viper.GetString("kubeconfig")
client, err := kubernetes.NewClient(kubecontext, kubeconfig)
if err != nil {
color.Red("Error initialising kubernetes client: %v", err)
return nil, err
}
// load remote cache if it is configured
remoteCacheEnabled, err := cache.RemoteCacheEnabled()
if err != nil {
return nil, err
}
return &Analysis{
Context: ctx,
Filters: filters,
Client: client,
AIClient: aiClient,
Namespace: namespace,
Cache: cache.New(noCache, remoteCacheEnabled),
Explain: explain,
MaxConcurrency: maxConcurrency,
AnalysisAIProvider: backend,
WithDoc: withDoc,
}, nil
}
func (a *Analysis) RunAnalysis() {
activeFilters := viper.GetStringSlice("active_filters")
coreAnalyzerMap, analyzerMap := analyzer.GetAnalyzerMap()
// we get the openapi schema from the server only if required by the flag "with-doc"
openapiSchema := &openapi_v2.Document{}
if a.WithDoc {
var openApiErr error
openapiSchema, openApiErr = a.Client.Client.Discovery().OpenAPISchema()
if openApiErr != nil {
a.Errors = append(a.Errors, fmt.Sprintf("[KubernetesDoc] %s", openApiErr))
}
}
analyzerConfig := common.Analyzer{
Client: a.Client,
Context: a.Context,
Namespace: a.Namespace,
AIClient: a.AIClient,
OpenapiSchema: openapiSchema,
}
semaphore := make(chan struct{}, a.MaxConcurrency)
// if there are no filters selected and no active_filters then run coreAnalyzer
if len(a.Filters) == 0 && len(activeFilters) == 0 {
var wg sync.WaitGroup
var mutex sync.Mutex
for _, analyzer := range coreAnalyzerMap {
wg.Add(1)
semaphore <- struct{}{}
go func(analyzer common.IAnalyzer, wg *sync.WaitGroup, semaphore chan struct{}) {
defer wg.Done()
results, err := analyzer.Analyze(analyzerConfig)
if err != nil {
mutex.Lock()
a.Errors = append(a.Errors, fmt.Sprintf("[%s] %s", reflect.TypeOf(analyzer).Name(), err))
mutex.Unlock()
}
mutex.Lock()
a.Results = append(a.Results, results...)
mutex.Unlock()
<-semaphore
}(analyzer, &wg, semaphore)
}
wg.Wait()
return
}
semaphore = make(chan struct{}, a.MaxConcurrency)
// if the filters flag is specified
if len(a.Filters) != 0 {
var wg sync.WaitGroup
var mutex sync.Mutex
for _, filter := range a.Filters {
if analyzer, ok := analyzerMap[filter]; ok {
semaphore <- struct{}{}
wg.Add(1)
go func(analyzer common.IAnalyzer, filter string) {
defer wg.Done()
results, err := analyzer.Analyze(analyzerConfig)
if err != nil {
mutex.Lock()
a.Errors = append(a.Errors, fmt.Sprintf("[%s] %s", filter, err))
mutex.Unlock()
}
mutex.Lock()
a.Results = append(a.Results, results...)
mutex.Unlock()
<-semaphore
}(analyzer, filter)
} else {
a.Errors = append(a.Errors, fmt.Sprintf("\"%s\" filter does not exist. Please run k8sgpt filters list.", filter))
}
}
wg.Wait()
return
}
var wg sync.WaitGroup
var mutex sync.Mutex
semaphore = make(chan struct{}, a.MaxConcurrency)
// use active_filters
for _, filter := range activeFilters {
if analyzer, ok := analyzerMap[filter]; ok {
semaphore <- struct{}{}
wg.Add(1)
go func(analyzer common.IAnalyzer, filter string) {
defer wg.Done()
results, err := analyzer.Analyze(analyzerConfig)
if err != nil {
mutex.Lock()
a.Errors = append(a.Errors, fmt.Sprintf("[%s] %s", filter, err))
mutex.Unlock()
}
mutex.Lock()
a.Results = append(a.Results, results...)
mutex.Unlock()
<-semaphore
}(analyzer, filter)
}
}
wg.Wait()
}
func (a *Analysis) GetAIResults(output string, anonymize bool) error {
if len(a.Results) == 0 {
return nil
}
var bar *progressbar.ProgressBar
if output != "json" {
bar = progressbar.Default(int64(len(a.Results)))
}
for index, analysis := range a.Results {
var texts []string
for _, failure := range analysis.Error {
if anonymize {
for _, s := range failure.Sensitive {
failure.Text = util.ReplaceIfMatch(failure.Text, s.Unmasked, s.Masked)
}
}
texts = append(texts, failure.Text)
}
// If the resource `Kind` comes from a "integration plugin", maybe a customized prompt template will be involved.
var promptTemplate string
if prompt, ok := ai.PromptMap[analysis.Kind]; ok {
promptTemplate = prompt
} else {
promptTemplate = ai.PromptMap["default"]
}
parsedText, err := a.AIClient.Parse(a.Context, texts, a.Cache, promptTemplate)
if err != nil {
// FIXME: can we avoid checking if output is json multiple times?
// maybe implement the progress bar better?
if output != "json" {
_ = bar.Exit()
}
// Check for exhaustion
if strings.Contains(err.Error(), "status code: 429") {
return fmt.Errorf("exhausted API quota for AI provider %s: %v", a.AIClient.GetName(), err)
} else {
return fmt.Errorf("failed while calling AI provider %s: %v", a.AIClient.GetName(), err)
}
}
if anonymize {
for _, failure := range analysis.Error {
for _, s := range failure.Sensitive {
parsedText = strings.ReplaceAll(parsedText, s.Masked, s.Unmasked)
}
}
}
analysis.Details = parsedText
if output != "json" {
_ = bar.Add(1)
}
a.Results[index] = analysis
}
return nil
}