Update app.py
Browse files
app.py
CHANGED
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@@ -46,14 +46,12 @@ class RAGSystem:
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@lru_cache(maxsize=1) # Cache the knowledge base
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def load_knowledge_base() -> List[Dict]:
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"""Load and preprocess knowledge base"""
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# Your existing knowledge base code...
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kb = {
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"spalling": [
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{
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"severity": "Critical",
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"description": "Severe concrete spalling with exposed reinforcement",
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"repair_method": "Remove deteriorated concrete, clean reinforcement",
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"estimated_cost": "Very High ($15,000+)",
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"immediate_action": "Evacuate area, install support",
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"prevention": "Regular inspections, waterproofing"
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}
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@@ -63,7 +61,6 @@ class RAGSystem:
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"severity": "High",
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"description": "Active structural cracks >5mm width",
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"repair_method": "Structural analysis, epoxy injection",
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"estimated_cost": "High ($10,000-$20,000)",
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"immediate_action": "Install crack monitors",
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"prevention": "Regular monitoring, load management"
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}
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@@ -73,13 +70,75 @@ class RAGSystem:
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"severity": "Medium",
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"description": "Surface scaling and deterioration",
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"repair_method": "Surface preparation, patch repair",
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"estimated_cost": "Medium ($5,000-$10,000)",
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"immediate_action": "Document extent, plan repairs",
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"prevention": "Surface sealers, proper drainage"
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}
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]
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}
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documents = []
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for category, items in kb.items():
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for item in items:
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@@ -87,7 +146,7 @@ class RAGSystem:
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for key, value in item.items():
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doc_text += f"{key}: {value}\n"
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documents.append({"text": doc_text, "metadata": {"category": category}})
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return documents
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def create_vector_store(self):
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@lru_cache(maxsize=1) # Cache the knowledge base
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def load_knowledge_base() -> List[Dict]:
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"""Load and preprocess knowledge base"""
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kb = {
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"spalling": [
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{
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"severity": "Critical",
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"description": "Severe concrete spalling with exposed reinforcement",
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"repair_method": "Remove deteriorated concrete, clean reinforcement",
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"immediate_action": "Evacuate area, install support",
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"prevention": "Regular inspections, waterproofing"
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}
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"severity": "High",
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"description": "Active structural cracks >5mm width",
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"repair_method": "Structural analysis, epoxy injection",
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"immediate_action": "Install crack monitors",
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"prevention": "Regular monitoring, load management"
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}
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"severity": "Medium",
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"description": "Surface scaling and deterioration",
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"repair_method": "Surface preparation, patch repair",
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"immediate_action": "Document extent, plan repairs",
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"prevention": "Surface sealers, proper drainage"
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}
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],
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"corrosion": [
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{
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"severity": "High",
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"description": "Corrosion of reinforcement leading to cracks",
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"repair_method": "Remove rust, apply inhibitors",
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"immediate_action": "Isolate affected area",
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"prevention": "Anti-corrosion coatings, proper drainage"
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}
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],
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"efflorescence": [
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{
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"severity": "Low",
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"description": "White powder deposits on concrete surfaces",
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"repair_method": "Surface cleaning, sealant application",
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"immediate_action": "Identify moisture source",
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"prevention": "Improve waterproofing, reduce moisture ingress"
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}
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],
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"delamination": [
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{
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"severity": "Medium",
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"description": "Separation of layers in concrete",
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"repair_method": "Resurface or replace delaminated sections",
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"immediate_action": "Inspect bonding layers",
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"prevention": "Proper curing and bonding agents"
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}
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],
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"honeycombing": [
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{
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"severity": "Medium",
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"description": "Voids in concrete caused by improper compaction",
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"repair_method": "Grout injection, patch repair",
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"immediate_action": "Assess structural impact",
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"prevention": "Proper vibration during pouring"
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}
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],
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"water_leakage": [
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{
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"severity": "High",
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"description": "Water ingress through cracks or joints",
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"repair_method": "Injection grouting, waterproofing membranes",
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"immediate_action": "Stop water flow, apply sealants",
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"prevention": "Drainage systems, joint sealing"
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}
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],
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"settlement_cracks": [
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{
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"severity": "High",
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"description": "Cracks due to uneven foundation settlement",
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"repair_method": "Foundation underpinning, grouting",
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"immediate_action": "Monitor movement, stabilize foundation",
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"prevention": "Soil compaction, proper foundation design"
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}
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],
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"shrinkage_cracks": [
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{
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"severity": "Low",
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"description": "Minor cracks caused by shrinkage during curing",
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"repair_method": "Sealant application, surface repairs",
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"immediate_action": "Monitor cracks",
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"prevention": "Proper curing and moisture control"
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}
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]
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}
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documents = []
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for category, items in kb.items():
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for item in items:
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for key, value in item.items():
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doc_text += f"{key}: {value}\n"
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documents.append({"text": doc_text, "metadata": {"category": category}})
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return documents
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def create_vector_store(self):
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