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fix the analysis timing issue

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Pradeep 2025-10-28 09:01:50 +05:30
parent 80fceb4979
commit 3c9a45eb2b
41 changed files with 2544 additions and 4983 deletions
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131
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/Filter [ /ASCII85Decode /FlateDecode ] /Length 417
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/Filter [ /ASCII85Decode /FlateDecode ] /Length 2959
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/Filter [ /ASCII85Decode /FlateDecode ] /Length 3307
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/Filter [ /ASCII85Decode /FlateDecode ] /Length 1914
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/Filter [ /ASCII85Decode /FlateDecode ] /Length 201
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/Filter [ /ASCII85Decode /FlateDecode ] /Length 1519
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/Filter [ /ASCII85Decode /FlateDecode ] /Length 2935
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/Filter [ /ASCII85Decode /FlateDecode ] /Length 3224
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/Filter [ /ASCII85Decode /FlateDecode ] /Length 2017
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docker-compose.yml
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@ -262,7 +262,7 @@ services:
- REQUIREMENT_PROCESSOR_URL=http://requirement-processor:8001
- TECH_STACK_SELECTOR_URL=http://tech-stack-selector:8002
- ARCHITECTURE_DESIGNER_URL=http://architecture-designer:8003
- CODE_GENERATOR_URL=http://code-generator:8004
# - CODE_GENERATOR_URL=http://code-generator:8004
- TEST_GENERATOR_URL=http://test-generator:8005
- DEPLOYMENT_MANAGER_URL=http://deployment-manager:8006
- DASHBOARD_URL=http://dashboard:8008
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timeout: 10s
retries: 3
code-generator:
build: ./services/code-generator
container_name: pipeline_code_generator
ports:
- "8004:8004"
environment:
- PORT=8004
- HOST=0.0.0.0
- POSTGRES_HOST=postgres
- POSTGRES_PORT=5432
- POSTGRES_DB=dev_pipeline
- POSTGRES_USER=pipeline_admin
- POSTGRES_PASSWORD=secure_pipeline_2024
- MONGODB_HOST=mongodb
- MONGODB_PORT=27017
- REDIS_HOST=redis
- REDIS_PORT=6379
- REDIS_PASSWORD=redis_secure_2024
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# - NEO4J_URI=bolt://neo4j:7687
# - NEO4J_USER=neo4j
# - NEO4J_PASSWORD=password
# - CHROMA_HOST=chromadb
# - CHROMA_PORT=8000
volumes:
# NEW: Persistent volume for generated projects
- ./generated-projects:/tmp/generated-projects
# Optional: Also persist the generation logs/dashboards
- ./generation-logs:/tmp/generation-logs
networks:
- pipeline_network
depends_on:
postgres:
condition: service_healthy
redis:
condition: service_healthy
mongodb:
condition: service_started
# neo4j:
# condition: service_healthy
chromadb:
condition: service_healthy
migrations:
condition: service_completed_successfully
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8004/health"]
interval: 30s
timeout: 10s
retries: 3
# code-generator:
# build: ./services/code-generator
# container_name: pipeline_code_generator
# ports:
# - "8004:8004"
# environment:
# - PORT=8004
# - HOST=0.0.0.0
# - POSTGRES_HOST=postgres
# - POSTGRES_PORT=5432
# - POSTGRES_DB=dev_pipeline
# - POSTGRES_USER=pipeline_admin
# - POSTGRES_PASSWORD=secure_pipeline_2024
# - MONGODB_HOST=mongodb
# - MONGODB_PORT=27017
# - REDIS_HOST=redis
# - REDIS_PORT=6379
# - REDIS_PASSWORD=redis_secure_2024
# - CLAUDE_API_KEY=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
# - OPENAI_API_KEY=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
# # - NEO4J_URI=bolt://neo4j:7687
# # - NEO4J_USER=neo4j
# # - NEO4J_PASSWORD=password
# # - CHROMA_HOST=chromadb
# # - CHROMA_PORT=8000
# volumes:
# # NEW: Persistent volume for generated projects
# - ./generated-projects:/tmp/generated-projects
# # Optional: Also persist the generation logs/dashboards
# - ./generation-logs:/tmp/generation-logs
# networks:
# - pipeline_network
# depends_on:
# postgres:
# condition: service_healthy
# redis:
# condition: service_healthy
# mongodb:
# condition: service_started
# # neo4j:
# # condition: service_healthy
# chromadb:
# condition: service_healthy
# migrations:
# condition: service_completed_successfully
# healthcheck:
# test: ["CMD", "curl", "-f", "http://localhost:8004/health"]
# interval: 30s
# timeout: 10s
# retries: 3
test-generator:
build: ./services/test-generator
@ -763,6 +763,12 @@ services:
- redis
- mongodb
- git-integration
deploy:
resources:
limits:
memory: 4G
reservations:
memory: 2G
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8022/health"]
interval: 30s
@ -785,7 +791,7 @@ services:
- DATABASE_URL=postgresql://pipeline_admin:secure_pipeline_2024@postgres:5432/dev_pipeline
- REDIS_URL=redis://:redis_secure_2024@pipeline_redis:6379
- API_GATEWAY_URL=http://pipeline_api_gateway:8000
- CODE_GENERATOR_URL=http://pipeline_code_generator:8004
# - CODE_GENERATOR_URL=http://pipeline_code_generator:8004
- SELF_IMPROVING_URL=http://pipeline_self_improving_generator:8007
- REQUIREMENT_PROCESSOR_URL=http://pipeline_requirement_processor:8001
- TECH_STACK_SELECTOR_URL=http://pipeline_tech_stack_selector:8002
@ -799,8 +805,8 @@ services:
condition: service_healthy
redis:
condition: service_healthy
code-generator:
condition: service_healthy
# code-generator:
# condition: service_healthy
self-improving-generator:
condition: service_healthy
migrations:

223
services/ai-analysis-service/ai-analyze.py
View File

@ -51,6 +51,10 @@ from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
from reportlab.lib.enums import TA_CENTER, TA_LEFT
from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, PageBreak, Table, TableStyle
from reportlab.lib import colors
from reportlab.graphics.shapes import Rect, String, Drawing
from reportlab.graphics.charts.piecharts import Pie
from reportlab.graphics.charts.barcharts import VerticalBarChart
from reportlab.lib.units import inch
# Enhanced dataclasses for memory system
@dataclass
@ -860,7 +864,7 @@ class EnhancedGitHubAnalyzer:
# Performance optimization settings
self.max_workers = memory_config.get('max_workers', 10) # Parallel processing
self.batch_size = memory_config.get('batch_size', 20) # Batch processing
self.batch_size = memory_config.get('batch_size', 10) # OPTIMIZED: Batch processing (REDUCED from 20 to 10)
self.cache_ttl = memory_config.get('cache_ttl', 3600) # Cache TTL
self.max_file_size = memory_config.get('max_file_size', 0) # No file size limit (0 = unlimited)
@ -1067,6 +1071,28 @@ ANALYSIS:
severity_score=5.0
)
async def analyze_files_batch(self, combined_prompt: str) -> str:
"""Analyze multiple files in a single API call for smart batching."""
try:
print(f"🚀 [BATCH API] Making single API call for multiple files")
# Make single API call to Claude
message = self.client.messages.create(
model="claude-3-5-sonnet-20240620",
max_tokens=4000, # Increased for multi-file response
temperature=0.1,
messages=[{"role": "user", "content": combined_prompt}]
)
response_text = message.content[0].text.strip()
print(f"✅ [BATCH API] Received response for multiple files")
return response_text
except Exception as e:
print(f"❌ [BATCH API] Error in batch analysis: {e}")
raise e
def extract_issues_from_analysis(self, analysis_text: str) -> List[str]:
"""Extract issues from analysis text."""
issues = []
@ -1493,9 +1519,82 @@ Focus on business outcomes, not technical details. Keep under 800 words.
return message.content[0].text
except Exception as e:
return f"Executive summary generation failed: {e}"
def _create_language_pie_chart(self, languages: Dict[str, int]) -> Drawing:
"""Create a pie chart showing language distribution."""
drawing = Drawing(400, 200)
pie = Pie()
pie.x = 150
pie.y = 50
pie.width = 150
pie.height = 150
# Prepare data
if languages and len(languages) > 0:
labels = list(languages.keys())[:8] # Top 8 languages
values = [languages[lang] for lang in labels]
pie.data = values
pie.labels = labels
# Use distinct colors
chart_colors = [
colors.HexColor('#3b82f6'), # Blue
colors.HexColor('#10b981'), # Green
colors.HexColor('#f59e0b'), # Amber
colors.HexColor('#ef4444'), # Red
colors.HexColor('#8b5cf6'), # Purple
colors.HexColor('#ec4899'), # Pink
colors.HexColor('#06b6d4'), # Cyan
colors.HexColor('#f97316'), # Orange
]
pie.slices.strokeWidth = 1
pie.slices.strokeColor = colors.white
for i, color in enumerate(chart_colors[:len(values)]):
pie.slices[i].fillColor = color
pie.sideLabels = 1
pie.simpleLabels = 0
else:
# Empty state
pie.data = [1]
pie.labels = ['No data']
pie.slices[0].fillColor = colors.HexColor('#e2e8f0')
drawing.add(pie)
return drawing
def _create_quality_bar_chart(self, file_analyses: List) -> Drawing:
"""Create a bar chart showing file quality distribution."""
drawing = Drawing(400, 200)
bc = VerticalBarChart()
bc.x = 50
bc.y = 50
bc.height = 125
bc.width = 300
# Calculate quality counts
high_count = len([fa for fa in file_analyses if fa.severity_score >= 8])
medium_count = len([fa for fa in file_analyses if 5 <= fa.severity_score < 8])
low_count = len([fa for fa in file_analyses if fa.severity_score < 5])
bc.data = [[high_count, medium_count, low_count]]
bc.categoryAxis.categoryNames = ['High', 'Medium', 'Low']
bc.categoryAxis.labels.fontSize = 10
bc.valueAxis.valueMin = 0
bc.valueAxis.valueMax = max(high_count, medium_count, low_count, 1) * 1.2
# Colors
bc.bars[0].fillColor = colors.HexColor('#10b981') # Green for high
bc.bars[1].fillColor = colors.HexColor('#f59e0b') # Amber for medium
bc.bars[2].fillColor = colors.HexColor('#ef4444') # Red for low
drawing.add(bc)
return drawing
def create_pdf_report(self, analysis: RepositoryAnalysis, output_path: str):
"""Generate comprehensive PDF report."""
def create_pdf_report(self, analysis: RepositoryAnalysis, output_path: str, progress_mgr=None):
"""Generate comprehensive PDF report with visual charts and detailed sections."""
print(f"Generating PDF report: {output_path}")
doc = SimpleDocTemplate(output_path, pagesize=A4,
@ -1582,7 +1681,38 @@ Focus on business outcomes, not technical details. Keep under 800 words.
story.append(overview_table)
story.append(Spacer(1, 20))
# Code Quality Assessment
# Language Distribution with Pie Chart
story.append(Paragraph("Language Distribution", heading_style))
if analysis.languages:
lang_chart = self._create_language_pie_chart(analysis.languages)
story.append(lang_chart)
story.append(Spacer(1, 10))
# Language breakdown table
lang_data = [['Language', 'Files', 'Percentage']]
total_lang_files = sum(analysis.languages.values())
for lang, count in sorted(analysis.languages.items(), key=lambda x: x[1], reverse=True)[:10]:
percentage = (count / total_lang_files * 100) if total_lang_files > 0 else 0
lang_data.append([lang, str(count), f"{percentage:.1f}%"])
lang_table = Table(lang_data, colWidths=[150, 100, 100])
lang_table.setStyle(TableStyle([
('BACKGROUND', (0, 0), (-1, 0), colors.HexColor('#1e40af')),
('TEXTCOLOR', (0, 0), (-1, 0), colors.white),
('ALIGN', (0, 0), (-1, -1), 'CENTER'),
('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold'),
('FONTSIZE', (0, 0), (-1, 0), 11),
('FONTSIZE', (0, 1), (-1, -1), 9),
('BOTTOMPADDING', (0, 0), (-1, 0), 12),
('BACKGROUND', (0, 1), (-1, -1), colors.HexColor('#f8fafc')),
('GRID', (0, 0), (-1, -1), 1, colors.HexColor('#e2e8f0'))
]))
story.append(lang_table)
else:
story.append(Paragraph("No language data available.", styles['Normal']))
story.append(PageBreak())
# Code Quality Assessment with Bar Chart
story.append(Paragraph("Code Quality Assessment", heading_style))
# Calculate percentages safely
total_files = analysis.total_files if isinstance(analysis.total_files, int) and analysis.total_files > 0 else 1
@ -1612,7 +1742,90 @@ Focus on business outcomes, not technical details. Keep under 800 words.
]))
story.append(quality_table)
story.append(Spacer(1, 20))
story.append(Spacer(1, 10))
# Add quality bar chart
quality_chart = self._create_quality_bar_chart(analysis.file_analyses)
story.append(quality_chart)
story.append(PageBreak())
# Files Requiring Attention Section
story.append(Paragraph("Files Requiring Attention", heading_style))
story.append(Paragraph(
"The following files have been identified as requiring immediate attention based on their quality scores, "
"number of issues, and complexity metrics. Priority is given to files with the lowest quality scores.",
styles['Normal']
))
story.append(Spacer(1, 10))
# Get files sorted by severity (lowest scores first = most attention needed)
files_needing_attention = sorted(analysis.file_analyses, key=lambda x: x.severity_score)[:15]
if files_needing_attention:
attention_data = [['File Path', 'Score', 'Issues', 'Priority']]
for fa in files_needing_attention:
# Determine priority based on score
if fa.severity_score < 4:
priority = "CRITICAL"
priority_color = colors.HexColor('#ef4444')
elif fa.severity_score < 6:
priority = "HIGH"
priority_color = colors.HexColor('#f59e0b')
else:
priority = "MEDIUM"
priority_color = colors.HexColor('#3b82f6')
file_path = str(fa.path)[:45] + '...' if len(str(fa.path)) > 45 else str(fa.path)
issues_count = len(fa.issues_found) if isinstance(fa.issues_found, (list, tuple)) else 0
attention_data.append([
file_path,
f"{fa.severity_score:.1f}/10",
str(issues_count),
priority
])
attention_table = Table(attention_data, colWidths=[220, 70, 60, 80])
attention_table.setStyle(TableStyle([
('BACKGROUND', (0, 0), (-1, 0), colors.HexColor('#1e40af')),
('TEXTCOLOR', (0, 0), (-1, 0), colors.white),
('ALIGN', (0, 0), (-1, -1), 'LEFT'),
('ALIGN', (1, 0), (-1, -1), 'CENTER'),
('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold'),
('FONTSIZE', (0, 0), (-1, 0), 10),
('FONTSIZE', (0, 1), (-1, -1), 8),
('BOTTOMPADDING', (0, 0), (-1, 0), 12),
('BACKGROUND', (0, 1), (-1, -1), colors.HexColor('#f8fafc')),
('GRID', (0, 0), (-1, -1), 1, colors.HexColor('#e2e8f0')),
# Color code priority column
('TEXTCOLOR', (3, 1), (3, -1), colors.HexColor('#dc2626'))
]))
story.append(attention_table)
story.append(Spacer(1, 15))
# Add recommendations for top 5 critical files
story.append(Paragraph("Priority Recommendations:", ParagraphStyle(
'SubHeading',
parent=styles['Heading3'],
fontSize=12,
textColor=colors.HexColor('#1e40af'),
spaceBefore=10
)))
for i, fa in enumerate(files_needing_attention[:5], 1):
story.append(Paragraph(f"<b>{i}. {str(fa.path)}</b> (Score: {fa.severity_score:.1f}/10)", styles['Normal']))
if fa.recommendations and len(fa.recommendations) > 0:
for rec in fa.recommendations[:2]: # Top 2 recommendations per file
story.append(Paragraph(f" • {rec}", styles['Normal']))
else:
story.append(Paragraph(f" • Review code quality and add documentation", styles['Normal']))
story.append(Spacer(1, 5))
else:
story.append(Paragraph("No files require immediate attention. Code quality is satisfactory.", styles['Normal']))
story.append(PageBreak())
# Security Assessment
if hasattr(analysis, 'security_assessment') and analysis.security_assessment:

70
services/ai-analysis-service/enhanced_chunking.py
View File

@ -404,28 +404,64 @@ class ChunkAnalyzer:
"""Parse Claude's analysis response into structured data."""
try:
import json
import re
# Clean the response by removing invalid control characters
cleaned_response = re.sub(r'[\x00-\x08\x0b\x0c\x0e-\x1f\x7f-\x9f]', '', response)
# Try to extract JSON from response
if '{' in response and '}' in response:
start = response.find('{')
end = response.rfind('}') + 1
json_str = response[start:end]
return json.loads(json_str)
if '{' in cleaned_response and '}' in cleaned_response:
start = cleaned_response.find('{')
end = cleaned_response.rfind('}') + 1
json_str = cleaned_response[start:end]
# Additional cleaning for common JSON issues
json_str = json_str.replace('\n', '\\n').replace('\r', '\\r').replace('\t', '\\t')
try:
return json.loads(json_str)
except json.JSONDecodeError as json_err:
# Try to fix common JSON issues
json_str = re.sub(r',\s*}', '}', json_str) # Remove trailing commas
json_str = re.sub(r',\s*]', ']', json_str) # Remove trailing commas in arrays
json_str = re.sub(r'(\w+):', r'"\1":', json_str) # Quote unquoted keys
try:
return json.loads(json_str)
except json.JSONDecodeError:
# If still failing, create a structured response from the text
return self._create_fallback_response(cleaned_response)
else:
# Fallback parsing
return {
'issues_found': ['Unable to parse specific issues'],
'recommendations': ['Review code manually'],
'severity_score': 5.0,
'detailed_analysis': response
}
return self._create_fallback_response(cleaned_response)
except Exception as e:
self.logger.error(f"Error parsing analysis response: {e}")
return {
'issues_found': ['Analysis parsing failed'],
'recommendations': ['Review code manually'],
'severity_score': 5.0,
'detailed_analysis': response
}
return self._create_fallback_response(response)
def _create_fallback_response(self, response_text: str) -> Dict[str, Any]:
"""Create a structured response when JSON parsing fails."""
# Extract basic information from the text response
issues = []
recommendations = []
# Look for common patterns in the response
if 'error' in response_text.lower() or 'issue' in response_text.lower():
issues.append('Code issues detected (parsing failed)')
if 'improve' in response_text.lower() or 'recommend' in response_text.lower():
recommendations.append('Code improvements suggested (parsing failed)')
if not issues:
issues.append('Analysis completed (detailed parsing unavailable)')
if not recommendations:
recommendations.append('Review code manually')
return {
'issues_found': issues,
'recommendations': recommendations,
'severity_score': 3.0, # Medium severity for fallback
'detailed_analysis': response_text[:500] + '...' if len(response_text) > 500 else response_text
}
async def _analyze_chunk_with_context(self, file_path: str, chunk: ChunkInfo,
chunk_index: int, total_chunks: int, repo_id: str) -> ChunkAnalysis:

165
services/ai-analysis-service/progress_manager.py Normal file
View File

@ -0,0 +1,165 @@
"""
Progress Manager for AI Analysis Service
Handles real-time progress updates via Server-Sent Events (SSE)
"""
import asyncio
import json
from datetime import datetime
from typing import Dict, Any, List, Optional
from collections import defaultdict
import redis.asyncio as redis
import os
class AnalysisProgressManager:
"""Manages progress updates for AI analysis operations"""
def __init__(self, analysis_id: str):
self.analysis_id = analysis_id
self.subscribers: List[asyncio.Queue] = []
self.redis_client: Optional[redis.Redis] = None
self.progress_key = f"analysis_progress:{analysis_id}"
async def connect_redis(self):
"""Connect to Redis for progress persistence"""
try:
redis_host = os.getenv('REDIS_HOST', 'redis')
redis_port = int(os.getenv('REDIS_PORT', 6379))
redis_password = os.getenv('REDIS_PASSWORD', 'redis_secure_2024')
self.redis_client = await redis.Redis(
host=redis_host,
port=redis_port,
password=redis_password,
decode_responses=True
)
print(f"✅ Redis connected for progress tracking: {self.analysis_id}")
except Exception as e:
print(f"⚠️ Redis connection failed: {e}. Progress will not be persisted.")
self.redis_client = None
async def disconnect_redis(self):
"""Disconnect from Redis"""
if self.redis_client:
await self.redis_client.close()
def subscribe(self) -> asyncio.Queue:
"""Subscribe to progress updates"""
queue = asyncio.Queue()
self.subscribers.append(queue)
print(f"📡 New subscriber added. Total subscribers: {len(self.subscribers)}")
return queue
def unsubscribe(self, queue: asyncio.Queue):
"""Unsubscribe from progress updates"""
if queue in self.subscribers:
self.subscribers.remove(queue)
print(f"📡 Subscriber removed. Remaining subscribers: {len(self.subscribers)}")
async def emit_event(self, event_type: str, data: Dict[str, Any]):
"""
Emit a progress event to all subscribers
Event types:
- analysis_started: Analysis has begun
- file_analysis_started: Started analyzing a file
- file_analysis_completed: Completed analyzing a file
- repository_analysis_started: Started repository-level analysis
- repository_analysis_completed: Completed repository-level analysis
- report_generation_started: Started generating PDF report
- report_section_completed: Completed a section of the report
- analysis_completed: Entire analysis is complete
- analysis_error: An error occurred
"""
event = {
"analysis_id": self.analysis_id,
"event": event_type,
"data": data,
"timestamp": datetime.now().isoformat()
}
# Store in Redis for recovery
if self.redis_client:
try:
await self.redis_client.rpush(
self.progress_key,
json.dumps(event)
)
# Set expiry for 1 hour
await self.redis_client.expire(self.progress_key, 3600)
except Exception as e:
print(f"⚠️ Failed to store progress in Redis: {e}")
# Broadcast to all subscribers
dead_queues = []
for queue in self.subscribers:
try:
await queue.put(event)
except Exception as e:
print(f"⚠️ Failed to send to subscriber: {e}")
dead_queues.append(queue)
# Clean up dead queues
for queue in dead_queues:
self.unsubscribe(queue)
print(f"📤 Event emitted: {event_type} - {data.get('message', '')}")
async def get_progress_history(self) -> List[Dict[str, Any]]:
"""Retrieve progress history from Redis"""
if not self.redis_client:
return []
try:
events = await self.redis_client.lrange(self.progress_key, 0, -1)
return [json.loads(event) for event in events]
except Exception as e:
print(f"⚠️ Failed to retrieve progress history: {e}")
return []
async def clear_progress(self):
"""Clear progress data from Redis"""
if self.redis_client:
try:
await self.redis_client.delete(self.progress_key)
print(f"🗑️ Progress data cleared for {self.analysis_id}")
except Exception as e:
print(f"⚠️ Failed to clear progress: {e}")
class GlobalProgressTracker:
"""Global singleton to track all active analyses"""
_instance = None
_managers: Dict[str, AnalysisProgressManager] = {}
def __new__(cls):
if cls._instance is None:
cls._instance = super(GlobalProgressTracker, cls).__new__(cls)
cls._managers = {}
return cls._instance
def create_manager(self, analysis_id: str) -> AnalysisProgressManager:
"""Create a new progress manager"""
if analysis_id not in self._managers:
self._managers[analysis_id] = AnalysisProgressManager(analysis_id)
print(f"🆕 Created progress manager: {analysis_id}")
return self._managers[analysis_id]
def get_manager(self, analysis_id: str) -> Optional[AnalysisProgressManager]:
"""Get an existing progress manager"""
return self._managers.get(analysis_id)
def remove_manager(self, analysis_id: str):
"""Remove a progress manager"""
if analysis_id in self._managers:
del self._managers[analysis_id]
print(f"🗑️ Removed progress manager: {analysis_id}")
def list_active_analyses(self) -> List[str]:
"""List all active analysis IDs"""
return list(self._managers.keys())
# Global tracker instance
progress_tracker = GlobalProgressTracker()

1340
services/ai-analysis-service/server.py
View File

File diff suppressed because it is too large Load Diff

49
services/api-gateway/src/server.js
View File

@ -2032,10 +2032,53 @@ app.use('/api/ai-analysis',
console.log(`📦 [AI ANALYSIS PROXY] Request body:`, JSON.stringify(req.body));
}
// Check if this is a PDF report request
const isPdfRequest = req.originalUrl.includes('/reports/');
// Check if this is a Server-Sent Events (SSE) request for progress tracking
const isSSERequest = req.originalUrl.includes('/progress/');
if (isPdfRequest) {
if (isSSERequest) {
// For SSE requests, use streaming with special headers
options.responseType = 'stream';
options.headers['Accept'] = 'text/event-stream';
delete options.headers['Content-Type']; // SSE doesn't need Content-Type in request
axios(options)
.then(response => {
console.log(`🌊 [AI ANALYSIS PROXY] SSE Stream started for ${req.originalUrl}`);
if (!res.headersSent) {
// Set SSE headers
res.setHeader('Content-Type', 'text/event-stream');
res.setHeader('Cache-Control', 'no-cache');
res.setHeader('Connection', 'keep-alive');
res.setHeader('X-Accel-Buffering', 'no'); // Disable nginx buffering
res.status(response.status);
// Pipe the SSE stream directly
response.data.pipe(res);
// Handle stream end
response.data.on('end', () => {
console.log(`🏁 [AI ANALYSIS PROXY] SSE Stream ended for ${req.originalUrl}`);
});
// Handle stream errors
response.data.on('error', (err) => {
console.error(`❌ [AI ANALYSIS PROXY] SSE Stream error:`, err);
});
}
})
.catch(error => {
console.error(`❌ [AI ANALYSIS PROXY SSE ERROR]:`, error.message);
if (!res.headersSent) {
res.status(502).json({
error: 'AI Analysis SSE stream unavailable',
message: error.code || error.message,
service: 'ai-analysis-sse'
});
}
});
}
// Check if this is a PDF report request
else if (req.originalUrl.includes('/reports/')) {
// For PDF requests, use responseType: 'stream' to avoid corruption
options.responseType = 'stream';
delete options.headers['Content-Type']; // Let the backend set the content type

41
services/git-integration/src/services/provider-registry.js
View File

@ -54,6 +54,47 @@ class GithubAdapter {
async cleanupRepositoryStorage(repositoryId) {
return await this.impl.cleanupRepositoryStorage(repositoryId);
}
async getUserRepositories(accessToken) {
try {
const url = 'https://api.github.com/user/repos?type=all&per_page=100&sort=updated';
const response = await fetch(url, {
headers: {
'Authorization': `Bearer ${accessToken}`,
'Accept': 'application/vnd.github.v3+json',
'Content-Type': 'application/json',
'User-Agent': 'CodeNuk-GitIntegration/1.0.0'
}
});
if (!response.ok) {
throw new Error(`GitHub API error: ${response.status} ${response.statusText}`);
}
const repos = await response.json();
return repos.map(repo => ({
id: repo.id,
name: repo.name,
full_name: repo.full_name,
description: repo.description,
language: repo.language,
visibility: repo.private ? 'private' : 'public',
html_url: repo.html_url,
clone_url: repo.clone_url,
default_branch: repo.default_branch || 'main',
stargazers_count: repo.stargazers_count,
watchers_count: repo.watchers_count,
forks_count: repo.forks_count,
updated_at: repo.updated_at,
created_at: repo.created_at
}));
} catch (error) {
console.error('Error fetching GitHub repositories:', error);
throw error;
}
}
}
class ProviderRegistry {